Overview

Dataset statistics

Number of variables163
Number of observations217
Missing cells18021
Missing cells (%)50.9%
Total size in memory276.5 KiB
Average record size in memory1.3 KiB

Variable types

Categorical1
Numeric162

Alerts

economy has a high cardinality: 217 distinct values High cardinality
SE.ADT.1524.LT.FE.ZS has 166 (76.5%) missing values Missing
SE.ADT.1524.LT.FM.ZS has 166 (76.5%) missing values Missing
SE.ADT.1524.LT.MA.ZS has 166 (76.5%) missing values Missing
SE.ADT.1524.LT.ZS has 166 (76.5%) missing values Missing
SE.ADT.LITR.FE.ZS has 166 (76.5%) missing values Missing
SE.ADT.LITR.MA.ZS has 166 (76.5%) missing values Missing
SE.ADT.LITR.ZS has 166 (76.5%) missing values Missing
SE.COM.DURS has 27 (12.4%) missing values Missing
SE.ENR.PRIM.FM.ZS has 63 (29.0%) missing values Missing
SE.ENR.PRSC.FM.ZS has 82 (37.8%) missing values Missing
SE.ENR.SECO.FM.ZS has 76 (35.0%) missing values Missing
SE.ENR.TERT.FM.ZS has 93 (42.9%) missing values Missing
SE.PRE.DURS has 60 (27.6%) missing values Missing
SE.PRE.ENRL.TC.ZS has 107 (49.3%) missing values Missing
SE.PRE.ENRR has 85 (39.2%) missing values Missing
SE.PRE.ENRR.FE has 88 (40.6%) missing values Missing
SE.PRE.ENRR.MA has 88 (40.6%) missing values Missing
SE.PRE.TCAQ.FE.ZS has 171 (78.8%) missing values Missing
SE.PRE.TCAQ.MA.ZS has 176 (81.1%) missing values Missing
SE.PRE.TCAQ.ZS has 164 (75.6%) missing values Missing
SE.PRM.AGES has 9 (4.1%) missing values Missing
SE.PRM.CMPT.FE.ZS has 91 (41.9%) missing values Missing
SE.PRM.CMPT.MA.ZS has 92 (42.4%) missing values Missing
SE.PRM.CMPT.ZS has 88 (40.6%) missing values Missing
SE.PRM.CUAT.FE.ZS has 160 (73.7%) missing values Missing
SE.PRM.CUAT.MA.ZS has 160 (73.7%) missing values Missing
SE.PRM.CUAT.ZS has 160 (73.7%) missing values Missing
SE.PRM.DURS has 9 (4.1%) missing values Missing
SE.PRM.ENRL has 48 (22.1%) missing values Missing
SE.PRM.ENRL.FE.ZS has 49 (22.6%) missing values Missing
SE.PRM.ENRL.TC.ZS has 78 (35.9%) missing values Missing
SE.PRM.ENRR has 62 (28.6%) missing values Missing
SE.PRM.ENRR.FE has 63 (29.0%) missing values Missing
SE.PRM.ENRR.MA has 63 (29.0%) missing values Missing
SE.PRM.GINT.FE.ZS has 72 (33.2%) missing values Missing
SE.PRM.GINT.MA.ZS has 72 (33.2%) missing values Missing
SE.PRM.GINT.ZS has 70 (32.3%) missing values Missing
SE.PRM.NENR has 88 (40.6%) missing values Missing
SE.PRM.NENR.FE has 127 (58.5%) missing values Missing
SE.PRM.NENR.MA has 127 (58.5%) missing values Missing
SE.PRM.NINT.FE.ZS has 145 (66.8%) missing values Missing
SE.PRM.NINT.MA.ZS has 145 (66.8%) missing values Missing
SE.PRM.NINT.ZS has 143 (65.9%) missing values Missing
SE.PRM.OENR.FE.ZS has 78 (35.9%) missing values Missing
SE.PRM.OENR.MA.ZS has 78 (35.9%) missing values Missing
SE.PRM.OENR.ZS has 76 (35.0%) missing values Missing
SE.PRM.PRIV.ZS has 66 (30.4%) missing values Missing
SE.PRM.PRS5.FE.ZS has 134 (61.8%) missing values Missing
SE.PRM.PRS5.MA.ZS has 134 (61.8%) missing values Missing
SE.PRM.PRS5.ZS has 127 (58.5%) missing values Missing
SE.PRM.PRSL.FE.ZS has 121 (55.8%) missing values Missing
SE.PRM.PRSL.MA.ZS has 121 (55.8%) missing values Missing
SE.PRM.PRSL.ZS has 116 (53.5%) missing values Missing
SE.PRM.REPT.FE.ZS has 77 (35.5%) missing values Missing
SE.PRM.REPT.MA.ZS has 77 (35.5%) missing values Missing
SE.PRM.REPT.ZS has 74 (34.1%) missing values Missing
SE.PRM.TCAQ.FE.ZS has 156 (71.9%) missing values Missing
SE.PRM.TCAQ.MA.ZS has 157 (72.4%) missing values Missing
SE.PRM.TCAQ.ZS has 146 (67.3%) missing values Missing
SE.PRM.TCHR has 76 (35.0%) missing values Missing
SE.PRM.TCHR.FE.ZS has 78 (35.9%) missing values Missing
SE.PRM.TENR has 97 (44.7%) missing values Missing
SE.PRM.TENR.FE has 131 (60.4%) missing values Missing
SE.PRM.TENR.MA has 131 (60.4%) missing values Missing
SE.PRM.UNER has 94 (43.3%) missing values Missing
SE.PRM.UNER.FE has 132 (60.8%) missing values Missing
SE.PRM.UNER.FE.ZS has 129 (59.4%) missing values Missing
SE.PRM.UNER.MA has 132 (60.8%) missing values Missing
SE.PRM.UNER.MA.ZS has 129 (59.4%) missing values Missing
SE.PRM.UNER.ZS has 91 (41.9%) missing values Missing
SE.SEC.AGES has 12 (5.5%) missing values Missing
SE.SEC.CMPT.LO.FE.ZS has 96 (44.2%) missing values Missing
SE.SEC.CMPT.LO.MA.ZS has 96 (44.2%) missing values Missing
SE.SEC.CMPT.LO.ZS has 94 (43.3%) missing values Missing
SE.SEC.CUAT.LO.FE.ZS has 147 (67.7%) missing values Missing
SE.SEC.CUAT.LO.MA.ZS has 147 (67.7%) missing values Missing
SE.SEC.CUAT.LO.ZS has 147 (67.7%) missing values Missing
SE.SEC.CUAT.PO.FE.ZS has 164 (75.6%) missing values Missing
SE.SEC.CUAT.PO.MA.ZS has 164 (75.6%) missing values Missing
SE.SEC.CUAT.PO.ZS has 164 (75.6%) missing values Missing
SE.SEC.CUAT.UP.FE.ZS has 144 (66.4%) missing values Missing
SE.SEC.CUAT.UP.MA.ZS has 144 (66.4%) missing values Missing
SE.SEC.CUAT.UP.ZS has 144 (66.4%) missing values Missing
SE.SEC.DURS has 12 (5.5%) missing values Missing
SE.SEC.ENRL has 68 (31.3%) missing values Missing
SE.SEC.ENRL.FE.ZS has 68 (31.3%) missing values Missing
SE.SEC.ENRL.GC has 63 (29.0%) missing values Missing
SE.SEC.ENRL.GC.FE.ZS has 63 (29.0%) missing values Missing
SE.SEC.ENRL.LO.TC.ZS has 130 (59.9%) missing values Missing
SE.SEC.ENRL.TC.ZS has 123 (56.7%) missing values Missing
SE.SEC.ENRL.UP.TC.ZS has 140 (64.5%) missing values Missing
SE.SEC.ENRL.VO has 92 (42.4%) missing values Missing
SE.SEC.ENRL.VO.FE.ZS has 96 (44.2%) missing values Missing
SE.SEC.ENRR has 76 (35.0%) missing values Missing
SE.SEC.ENRR.FE has 76 (35.0%) missing values Missing
SE.SEC.ENRR.MA has 76 (35.0%) missing values Missing
SE.SEC.NENR has 117 (53.9%) missing values Missing
SE.SEC.NENR.FE has 119 (54.8%) missing values Missing
SE.SEC.NENR.MA has 119 (54.8%) missing values Missing
SE.SEC.PRIV.ZS has 90 (41.5%) missing values Missing
SE.SEC.PROG.FE.ZS has 114 (52.5%) missing values Missing
SE.SEC.PROG.MA.ZS has 114 (52.5%) missing values Missing
SE.SEC.PROG.ZS has 109 (50.2%) missing values Missing
SE.SEC.TCAQ.FE.ZS has 175 (80.6%) missing values Missing
SE.SEC.TCAQ.LO.FE.ZS has 190 (87.6%) missing values Missing
SE.SEC.TCAQ.LO.MA.ZS has 190 (87.6%) missing values Missing
SE.SEC.TCAQ.LO.ZS has 185 (85.3%) missing values Missing
SE.SEC.TCAQ.MA.ZS has 175 (80.6%) missing values Missing
SE.SEC.TCAQ.UP.FE.ZS has 193 (88.9%) missing values Missing
SE.SEC.TCAQ.UP.MA.ZS has 193 (88.9%) missing values Missing
SE.SEC.TCAQ.UP.ZS has 188 (86.6%) missing values Missing
SE.SEC.TCAQ.ZS has 170 (78.3%) missing values Missing
SE.SEC.TCHR has 119 (54.8%) missing values Missing
SE.SEC.TCHR.FE has 123 (56.7%) missing values Missing
SE.SEC.TCHR.FE.ZS has 117 (53.9%) missing values Missing
SE.SEC.UNER.LO.FE.ZS has 134 (61.8%) missing values Missing
SE.SEC.UNER.LO.MA.ZS has 134 (61.8%) missing values Missing
SE.SEC.UNER.LO.ZS has 122 (56.2%) missing values Missing
SE.TER.CUAT.BA.FE.ZS has 195 (89.9%) missing values Missing
SE.TER.CUAT.BA.MA.ZS has 195 (89.9%) missing values Missing
SE.TER.CUAT.BA.ZS has 195 (89.9%) missing values Missing
SE.TER.CUAT.DO.FE.ZS has 207 (95.4%) missing values Missing
SE.TER.CUAT.DO.MA.ZS has 207 (95.4%) missing values Missing
SE.TER.CUAT.DO.ZS has 207 (95.4%) missing values Missing
SE.TER.CUAT.MS.FE.ZS has 204 (94.0%) missing values Missing
SE.TER.CUAT.MS.MA.ZS has 204 (94.0%) missing values Missing
SE.TER.CUAT.MS.ZS has 204 (94.0%) missing values Missing
SE.TER.CUAT.ST.FE.ZS has 150 (69.1%) missing values Missing
SE.TER.CUAT.ST.MA.ZS has 150 (69.1%) missing values Missing
SE.TER.CUAT.ST.ZS has 150 (69.1%) missing values Missing
SE.TER.ENRL.TC.ZS has 122 (56.2%) missing values Missing
SE.TER.ENRR has 88 (40.6%) missing values Missing
SE.TER.ENRR.FE has 92 (42.4%) missing values Missing
SE.TER.ENRR.MA has 92 (42.4%) missing values Missing
SE.TER.TCHR.FE.ZS has 131 (60.4%) missing values Missing
SE.XPD.CPRM.ZS has 128 (59.0%) missing values Missing
SE.XPD.CSEC.ZS has 127 (58.5%) missing values Missing
SE.XPD.CTER.ZS has 129 (59.4%) missing values Missing
SE.XPD.CTOT.ZS has 127 (58.5%) missing values Missing
SE.XPD.PRIM.PC.ZS has 116 (53.5%) missing values Missing
SE.XPD.PRIM.ZS has 118 (54.4%) missing values Missing
SE.XPD.SECO.PC.ZS has 127 (58.5%) missing values Missing
SE.XPD.SECO.ZS has 116 (53.5%) missing values Missing
SE.XPD.TERT.PC.ZS has 123 (56.7%) missing values Missing
SE.XPD.TERT.ZS has 107 (49.3%) missing values Missing
SE.XPD.TOTL.GB.ZS has 86 (39.6%) missing values Missing
SE.XPD.TOTL.GD.ZS has 79 (36.4%) missing values Missing
SH.DTH.0509 has 24 (11.1%) missing values Missing
SH.DTH.1014 has 24 (11.1%) missing values Missing
SH.DTH.1519 has 24 (11.1%) missing values Missing
SH.DTH.2024 has 24 (11.1%) missing values Missing
SH.DYN.0509 has 24 (11.1%) missing values Missing
SH.DYN.1014 has 24 (11.1%) missing values Missing
SH.DYN.1519 has 24 (11.1%) missing values Missing
SH.DYN.2024 has 24 (11.1%) missing values Missing
SL.TLF.TOTL.FE.ZS has 30 (13.8%) missing values Missing
SL.TLF.TOTL.IN has 30 (13.8%) missing values Missing
SL.UEM.TOTL.FE.ZS has 30 (13.8%) missing values Missing
SL.UEM.TOTL.MA.ZS has 30 (13.8%) missing values Missing
SL.UEM.TOTL.ZS has 30 (13.8%) missing values Missing
SP.POP.0014.TO.ZS has 23 (10.6%) missing values Missing
SP.POP.1564.TO.ZS has 23 (10.6%) missing values Missing
economy has unique values Unique
SE.PRM.OENR.MA.ZS has 3 (1.4%) zeros Zeros
SE.PRM.REPT.FE.ZS has 9 (4.1%) zeros Zeros
SE.PRM.REPT.MA.ZS has 9 (4.1%) zeros Zeros
SE.PRM.REPT.ZS has 9 (4.1%) zeros Zeros
SE.SEC.ENRL.VO has 3 (1.4%) zeros Zeros
SH.DTH.0509 has 3 (1.4%) zeros Zeros

Reproduction

Analysis started2022-01-22 09:54:12.300024
Analysis finished2022-01-22 09:54:13.696991
Duration1.4 second
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

economy
Categorical

HIGH CARDINALITY
UNIQUE

Distinct217
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
ABW
 
1
OMN
 
1
MYS
 
1
NAM
 
1
NCL
 
1
Other values (212)
212 

Unique

Unique217 ?
Unique (%)100.0%

Sample

1st rowABW
2nd rowAFG
3rd rowAGO
4th rowALB
5th rowAND

Common Values

ValueCountFrequency (%)
ABW1
 
0.5%
OMN1
 
0.5%
MYS1
 
0.5%
NAM1
 
0.5%
NCL1
 
0.5%
NER1
 
0.5%
NGA1
 
0.5%
NIC1
 
0.5%
NLD1
 
0.5%
NOR1
 
0.5%
Other values (207)207
95.4%

SE.ADT.1524.LT.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)100.0%
Missing166
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean89.5973384
Minimum21.79673004
Maximum99.93332672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:14.833751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum21.79673004
5-th percentile48.12203979
Q185.99045563
median98.298172
Q398.90505219
95-th percentile99.76234436
Maximum99.93332672
Range78.13659668
Interquartile range (IQR)12.91459656

Descriptive statistics

Standard deviation18.31370642
Coefficient of variation (CV)0.2044001167
Kurtosis6.295279814
Mean89.5973384
Median Absolute Deviation (MAD)1.388191223
Skewness-2.534252058
Sum4569.464258
Variance335.3918429
MonotonicityNot monotonic
2022-01-22T10:54:15.050681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.323097231
 
0.5%
62.298370361
 
0.5%
97.336868291
 
0.5%
71.400001531
 
0.5%
98.854187011
 
0.5%
98.72882081
 
0.5%
99.244476321
 
0.5%
96.290458681
 
0.5%
99.758018491
 
0.5%
77.972457891
 
0.5%
Other values (41)41
 
18.9%
(Missing)166
76.5%
ValueCountFrequency (%)
21.796730041
0.5%
26.971330641
0.5%
33.945709231
0.5%
62.298370361
0.5%
69.981742861
0.5%
ValueCountFrequency (%)
99.933326721
0.5%
99.850906371
0.5%
99.766670231
0.5%
99.758018491
0.5%
99.686363221
0.5%

SE.ADT.1524.LT.FM.ZS
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)100.0%
Missing166
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean0.9675378437
Minimum0.5520499945
Maximum1.095659971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:15.250684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5520499945
5-th percentile0.6928850114
Q10.9790549874
median1.000499964
Q31.007875025
95-th percentile1.024285018
Maximum1.095659971
Range0.5436099768
Interquartile range (IQR)0.02882003784

Descriptive statistics

Standard deviation0.1071545909
Coefficient of variation (CV)0.1107497671
Kurtosis9.078114478
Mean0.9675378437
Median Absolute Deviation (MAD)0.007889986038
Skewness-3.053487663
Sum49.34443003
Variance0.01148210634
MonotonicityNot monotonic
2022-01-22T10:54:15.450650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0036000011
 
0.5%
0.78359001871
 
0.5%
0.9939000011
 
0.5%
1.0956599711
 
0.5%
1.0003999471
 
0.5%
1.0023100381
 
0.5%
1.000489951
 
0.5%
1.0539200311
 
0.5%
1.0009499791
 
0.5%
1.0168499951
 
0.5%
Other values (41)41
 
18.9%
(Missing)166
76.5%
ValueCountFrequency (%)
0.55204999451
0.5%
0.58020997051
0.5%
0.60218000411
0.5%
0.78359001871
0.5%
0.89489001041
0.5%
ValueCountFrequency (%)
1.0956599711
0.5%
1.0539200311
0.5%
1.0270299911
0.5%
1.0215400461
0.5%
1.0168499951
0.5%

SE.ADT.1524.LT.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)100.0%
Missing166
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean91.38905297
Minimum37.56715012
Maximum99.967453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:15.642449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum37.56715012
5-th percentile60.47063446
Q190.82804489
median97.69075775
Q398.78665543
95-th percentile99.71375656
Maximum99.967453
Range62.40030289
Interquartile range (IQR)7.958610535

Descriptive statistics

Standard deviation13.70150835
Coefficient of variation (CV)0.1499250502
Kurtosis5.765435145
Mean91.38905297
Median Absolute Deviation (MAD)1.8592453
Skewness-2.407718352
Sum4660.841702
Variance187.7313311
MonotonicityNot monotonic
2022-01-22T10:54:15.819571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.965728761
 
0.5%
79.504142761
 
0.5%
97.934471131
 
0.5%
64.569999691
 
0.5%
98.814582821
 
0.5%
98.500343321
 
0.5%
99.196281431
 
0.5%
91.098457341
 
0.5%
99.662780761
 
0.5%
76.658576971
 
0.5%
Other values (41)41
 
18.9%
(Missing)166
76.5%
ValueCountFrequency (%)
37.567150121
0.5%
48.857101441
0.5%
56.371269231
0.5%
64.569999691
0.5%
74.269248961
0.5%
ValueCountFrequency (%)
99.9674531
0.5%
99.940139771
0.5%
99.737892151
0.5%
99.689620971
0.5%
99.662780761
0.5%

SE.ADT.1524.LT.ZS
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)100.0%
Missing166
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean90.44829226
Minimum31.40641975
Maximum99.95059967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:16.029947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum31.40641975
5-th percentile56.10085487
Q188.11210251
median97.96704102
Q398.80918503
95-th percentile99.73071289
Maximum99.95059967
Range68.54417992
Interquartile range (IQR)10.69708252

Descriptive statistics

Standard deviation15.92817241
Coefficient of variation (CV)0.1761025223
Kurtosis5.929221187
Mean90.44829226
Median Absolute Deviation (MAD)1.627586365
Skewness-2.458602624
Sum4612.862906
Variance253.7066762
MonotonicityNot monotonic
2022-01-22T10:54:16.219190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.138412481
 
0.5%
71.259620671
 
0.5%
97.638526921
 
0.5%
67.900001531
 
0.5%
98.834182741
 
0.5%
98.610450741
 
0.5%
99.219833371
 
0.5%
92.428817751
 
0.5%
99.709602361
 
0.5%
77.344627381
 
0.5%
Other values (41)41
 
18.9%
(Missing)166
76.5%
ValueCountFrequency (%)
31.406419751
0.5%
36.356269841
0.5%
44.301708221
0.5%
67.900001531
0.5%
71.259620671
0.5%
ValueCountFrequency (%)
99.950599671
0.5%
99.897361761
0.5%
99.751823431
0.5%
99.709602361
0.5%
99.642288211
0.5%

SE.ADT.LITR.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)100.0%
Missing166
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean80.77942433
Minimum12.19194984
Maximum99.73899078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:16.433618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12.19194984
5-th percentile32.68550968
Q168.19145203
median90.6760788
Q393.63080215
95-th percentile99.28792572
Maximum99.73899078
Range87.54704094
Interquartile range (IQR)25.43935013

Descriptive statistics

Standard deviation21.44701921
Coefficient of variation (CV)0.2655010157
Kurtosis2.321738805
Mean80.77942433
Median Absolute Deviation (MAD)6.328422546
Skewness-1.675326143
Sum4119.750641
Variance459.974633
MonotonicityNot monotonic
2022-01-22T10:54:16.609772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.719779971
 
0.5%
41.015529631
 
0.5%
93.485260011
 
0.5%
57.900001531
 
0.5%
92.530151371
 
0.5%
92.92574311
 
0.5%
91.847442631
 
0.5%
91.895820621
 
0.5%
99.647781371
 
0.5%
61.548610691
 
0.5%
Other values (41)41
 
18.9%
(Missing)166
76.5%
ValueCountFrequency (%)
12.191949841
0.5%
20.287929531
0.5%
24.355489731
0.5%
41.015529631
0.5%
51.251968381
0.5%
ValueCountFrequency (%)
99.738990781
0.5%
99.692626951
0.5%
99.647781371
0.5%
98.928070071
0.5%
98.490951541
0.5%

SE.ADT.LITR.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)100.0%
Missing166
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean87.23973046
Minimum36.78979111
Maximum99.85443878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:16.901730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum36.78979111
5-th percentile57.15225029
Q183.26576996
median93.25019073
Q397.06226349
95-th percentile99.43415451
Maximum99.85443878
Range63.06464767
Interquartile range (IQR)13.79649353

Descriptive statistics

Standard deviation14.5443265
Coefficient of variation (CV)0.1667167748
Kurtosis3.377117341
Mean87.23973046
Median Absolute Deviation (MAD)4.566162109
Skewness-1.876273901
Sum4449.226254
Variance211.5374333
MonotonicityNot monotonic
2022-01-22T10:54:17.085577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.940528871
 
0.5%
68.900611881
 
0.5%
94.707412721
 
0.5%
65.290000921
 
0.5%
91.330780031
 
0.5%
94.81314851
 
0.5%
97.525207521
 
0.5%
91.748619081
 
0.5%
99.728309631
 
0.5%
71.130538941
 
0.5%
Other values (41)41
 
18.9%
(Missing)166
76.5%
ValueCountFrequency (%)
36.789791111
0.5%
43.400630951
0.5%
50.712711331
0.5%
63.591789251
0.5%
65.290000921
0.5%
ValueCountFrequency (%)
99.854438781
0.5%
99.82968141
0.5%
99.728309631
0.5%
99.139999391
0.5%
98.985321041
0.5%

SE.ADT.LITR.ZS
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)100.0%
Missing166
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean83.99134969
Minimum25.30773926
Maximum99.78163147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:17.273148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum25.30773926
5-th percentile46.06389999
Q176.17123032
median91.96523285
Q394.69661713
95-th percentile99.31962204
Maximum99.78163147
Range74.47389221
Interquartile range (IQR)18.52538681

Descriptive statistics

Standard deviation17.95234661
Coefficient of variation (CV)0.213740423
Kurtosis2.710331183
Mean83.99134969
Median Absolute Deviation (MAD)5.783668518
Skewness-1.754720886
Sum4283.558834
Variance322.286749
MonotonicityNot monotonic
2022-01-22T10:54:17.449979image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.822639471
 
0.5%
55.375190731
 
0.5%
94.094116211
 
0.5%
61.599998471
 
0.5%
91.965232851
 
0.5%
93.870918271
 
0.5%
94.717483521
 
0.5%
91.778846741
 
0.5%
99.684272771
 
0.5%
65.852272031
 
0.5%
Other values (41)41
 
18.9%
(Missing)166
76.5%
ValueCountFrequency (%)
25.307739261
0.5%
31.099750521
0.5%
36.752609251
0.5%
55.375190731
0.5%
58.308979031
0.5%
ValueCountFrequency (%)
99.781631471
0.5%
99.771141051
0.5%
99.684272771
0.5%
98.954971311
0.5%
98.699996951
0.5%

SE.COM.DURS
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)6.3%
Missing27
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean9.473684211
Minimum5
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:17.608512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q18
median9
Q311
95-th percentile13
Maximum16
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.178986247
Coefficient of variation (CV)0.2300041038
Kurtosis0.07262618032
Mean9.473684211
Median Absolute Deviation (MAD)1
Skewness0.2173892341
Sum1800
Variance4.747981064
MonotonicityNot monotonic
2022-01-22T10:54:17.733217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
954
24.9%
1037
17.1%
620
 
9.2%
1217
 
7.8%
816
 
7.4%
1116
 
7.4%
139
 
4.1%
79
 
4.1%
145
 
2.3%
54
 
1.8%
Other values (2)3
 
1.4%
(Missing)27
12.4%
ValueCountFrequency (%)
54
 
1.8%
620
 
9.2%
79
 
4.1%
816
 
7.4%
954
24.9%
ValueCountFrequency (%)
161
 
0.5%
152
 
0.9%
145
 
2.3%
139
4.1%
1217
7.8%

SE.ENR.PRIM.FM.ZS
Real number (ℝ≥0)

MISSING

Distinct151
Distinct (%)98.1%
Missing63
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean0.969590129
Minimum0.6798099875
Maximum1.076169968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:17.891715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6798099875
5-th percentile0.8529944897
Q10.9614174813
median0.9865449965
Q31.000419974
95-th percentile1.031022537
Maximum1.076169968
Range0.3963599801
Interquartile range (IQR)0.03900249302

Descriptive statistics

Standard deviation0.05985438427
Coefficient of variation (CV)0.06173163534
Kurtosis6.435056234
Mean0.969590129
Median Absolute Deviation (MAD)0.01642003655
Skewness-2.221247909
Sum149.3168799
Variance0.003582547317
MonotonicityNot monotonic
2022-01-22T10:54:18.074926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.98084998133
 
1.4%
0.97522002462
 
0.9%
0.98695999381
 
0.5%
1.0032099491
 
0.5%
0.9613199831
 
0.5%
0.80774998661
 
0.5%
0.90850001571
 
0.5%
0.99165999891
 
0.5%
0.99655997751
 
0.5%
1.0030699971
 
0.5%
Other values (141)141
65.0%
(Missing)63
29.0%
ValueCountFrequency (%)
0.67980998751
0.5%
0.72567999361
0.5%
0.73015999791
0.5%
0.79943001271
0.5%
0.80774998661
0.5%
ValueCountFrequency (%)
1.0761699681
0.5%
1.0625100141
0.5%
1.0583599811
0.5%
1.046180011
0.5%
1.0373300311
0.5%

SE.ENR.PRSC.FM.ZS
Real number (ℝ≥0)

MISSING

Distinct135
Distinct (%)100.0%
Missing82
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean0.979688444
Minimum0.6258100271
Maximum1.105399966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:18.249636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6258100271
5-th percentile0.8088160038
Q10.9720599949
median0.9965500236
Q31.014470041
95-th percentile1.049552965
Maximum1.105399966
Range0.4795899391
Interquartile range (IQR)0.04241004586

Descriptive statistics

Standard deviation0.07351056577
Coefficient of variation (CV)0.07503463598
Kurtosis6.891516502
Mean0.979688444
Median Absolute Deviation (MAD)0.02366000414
Skewness-2.31827631
Sum132.2579399
Variance0.00540380328
MonotonicityNot monotonic
2022-01-22T10:54:18.441851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0146000391
 
0.5%
0.82161998751
 
0.5%
0.89722001551
 
0.5%
1.0351599451
 
0.5%
0.99124997851
 
0.5%
0.99304997921
 
0.5%
1.028959991
 
0.5%
1.0284700391
 
0.5%
1.000679971
 
0.5%
1.0381100181
 
0.5%
Other values (125)125
57.6%
(Missing)82
37.8%
ValueCountFrequency (%)
0.62581002711
0.5%
0.65926998851
0.5%
0.749211
0.5%
0.77762997151
0.5%
0.78781998161
0.5%
ValueCountFrequency (%)
1.1053999661
0.5%
1.0859500171
0.5%
1.0833899971
0.5%
1.0725200181
0.5%
1.0627399681
0.5%

SE.ENR.SECO.FM.ZS
Real number (ℝ≥0)

MISSING

Distinct140
Distinct (%)99.3%
Missing76
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean0.9848110619
Minimum0.4226900041
Maximum1.388299942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:18.608172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.4226900041
5-th percentile0.716629982
Q10.9654300213
median1.003540039
Q31.046489954
95-th percentile1.137930036
Maximum1.388299942
Range0.9656099379
Interquartile range (IQR)0.08105993271

Descriptive statistics

Standard deviation0.1303414769
Coefficient of variation (CV)0.1323517596
Kurtosis4.38929525
Mean0.9848110619
Median Absolute Deviation (MAD)0.04281002283
Skewness-1.328494808
Sum138.8583597
Variance0.01698890061
MonotonicityNot monotonic
2022-01-22T10:54:18.891364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0962100032
 
0.9%
1.0518100261
 
0.5%
0.98631000521
 
0.5%
1.0463500021
 
0.5%
0.88435000181
 
0.5%
1.0767099861
 
0.5%
0.69822001461
 
0.5%
0.87358999251
 
0.5%
1.1276099681
 
0.5%
0.98396998641
 
0.5%
Other values (130)130
59.9%
(Missing)76
35.0%
ValueCountFrequency (%)
0.42269000411
0.5%
0.49785000091
0.5%
0.5772799851
0.5%
0.62051999571
0.5%
0.67870998381
0.5%
ValueCountFrequency (%)
1.3882999421
0.5%
1.2896100281
0.5%
1.2305599451
0.5%
1.1852500441
0.5%
1.176030041
0.5%

SE.ENR.TERT.FM.ZS
Real number (ℝ≥0)

MISSING

Distinct124
Distinct (%)100.0%
Missing93
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1.043657336
Minimum0.1743399948
Maximum1.830129981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:19.092296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1743399948
5-th percentile0.4058735043
Q10.751417473
median1.144080043
Q31.299479991
95-th percentile1.506383038
Maximum1.830129981
Range1.655789986
Interquartile range (IQR)0.5480625182

Descriptive statistics

Standard deviation0.3454139177
Coefficient of variation (CV)0.3309648731
Kurtosis-0.5221884288
Mean1.043657336
Median Absolute Deviation (MAD)0.2005949616
Skewness-0.5117197343
Sum129.4135096
Variance0.1193107745
MonotonicityNot monotonic
2022-01-22T10:54:19.276849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2541999821
 
0.5%
1.3057299851
 
0.5%
0.64183002711
 
0.5%
1.3809499741
 
0.5%
1.1036800151
 
0.5%
0.74001002311
 
0.5%
0.39904001361
 
0.5%
1.2702300551
 
0.5%
0.59298002721
 
0.5%
1.1727199551
 
0.5%
Other values (114)114
52.5%
(Missing)93
42.9%
ValueCountFrequency (%)
0.17433999481
0.5%
0.31176999211
0.5%
0.32398998741
0.5%
0.35389998561
0.5%
0.37992000581
0.5%
ValueCountFrequency (%)
1.8301299811
0.5%
1.6269899611
0.5%
1.6124900581
0.5%
1.5762000081
0.5%
1.5663599971
0.5%

SE.PRE.DURS
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)4.5%
Missing60
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean3.305732484
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:19.415986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.426230555
Coefficient of variation (CV)0.4314416128
Kurtosis-0.236292563
Mean3.305732484
Median Absolute Deviation (MAD)1
Skewness0.6948404684
Sum519
Variance2.034133595
MonotonicityNot monotonic
2022-01-22T10:54:19.532578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
360
27.6%
238
17.5%
617
 
7.8%
417
 
7.8%
514
 
6.5%
19
 
4.1%
72
 
0.9%
(Missing)60
27.6%
ValueCountFrequency (%)
19
 
4.1%
238
17.5%
360
27.6%
417
 
7.8%
514
 
6.5%
ValueCountFrequency (%)
72
 
0.9%
617
 
7.8%
514
 
6.5%
417
 
7.8%
360
27.6%

SE.PRE.ENRL.TC.ZS
Real number (ℝ≥0)

MISSING

Distinct110
Distinct (%)100.0%
Missing107
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean18.76253436
Minimum5.66671
Maximum56.60683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:19.674395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.66671
5-th percentile7.5627685
Q112.511555
median17.416
Q323.9164675
95-th percentile35.2345265
Maximum56.60683
Range50.94012
Interquartile range (IQR)11.4049125

Descriptive statistics

Standard deviation8.69615435
Coefficient of variation (CV)0.4634850592
Kurtosis2.346209266
Mean18.76253436
Median Absolute Deviation (MAD)5.63386
Skewness1.176010044
Sum2063.87878
Variance75.62310048
MonotonicityNot monotonic
2022-01-22T10:54:19.865742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.12131
 
0.5%
16.970891
 
0.5%
20.003871
 
0.5%
17.327411
 
0.5%
24.891031
 
0.5%
21.19371
 
0.5%
33.923811
 
0.5%
17.823381
 
0.5%
14.46691
 
0.5%
24.519371
 
0.5%
Other values (100)100
46.1%
(Missing)107
49.3%
ValueCountFrequency (%)
5.666711
0.5%
6.064151
0.5%
6.33181
0.5%
7.352661
0.5%
7.431651
0.5%
ValueCountFrequency (%)
56.606831
0.5%
38.763331
0.5%
37.490691
0.5%
37.065111
0.5%
35.438321
0.5%

SE.PRE.ENRR
Real number (ℝ≥0)

MISSING

Distinct132
Distinct (%)100.0%
Missing85
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean58.54819472
Minimum1.261369944
Maximum119.3752289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:20.041020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.261369944
5-th percentile4.107066321
Q125.55280447
median66.11290741
Q387.87526131
95-th percentile105.2564575
Maximum119.3752289
Range118.1138589
Interquartile range (IQR)62.32245684

Descriptive statistics

Standard deviation35.03290958
Coefficient of variation (CV)0.5983602013
Kurtosis-1.342827352
Mean58.54819472
Median Absolute Deviation (MAD)30.42707253
Skewness-0.1533963451
Sum7728.361703
Variance1227.304753
MonotonicityNot monotonic
2022-01-22T10:54:20.226535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.6460099221
 
0.5%
99.121360781
 
0.5%
69.079338071
 
0.5%
78.864662171
 
0.5%
64.827941891
 
0.5%
75.246597291
 
0.5%
98.819160461
 
0.5%
55.595020291
 
0.5%
41.83118821
 
0.5%
3.9669098851
 
0.5%
Other values (122)122
56.2%
(Missing)85
39.2%
ValueCountFrequency (%)
1.2613699441
0.5%
1.6902099851
0.5%
2.4081900121
0.5%
2.790539981
0.5%
3.1846899991
0.5%
ValueCountFrequency (%)
119.37522891
0.5%
118.16268921
0.5%
113.48793791
0.5%
111.80162811
0.5%
108.1561891
0.5%

SE.PRE.ENRR.FE
Real number (ℝ≥0)

MISSING

Distinct129
Distinct (%)100.0%
Missing88
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean59.03508177
Minimum1.190230012
Maximum119.0430603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:20.407522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.190230012
5-th percentile4.066407871
Q125.75419044
median66.73314667
Q388.25485992
95-th percentile105.5393814
Maximum119.0430603
Range117.8528303
Interquartile range (IQR)62.50066948

Descriptive statistics

Standard deviation34.70361421
Coefficient of variation (CV)0.5878473133
Kurtosis-1.318479566
Mean59.03508177
Median Absolute Deviation (MAD)28.52023697
Skewness-0.1752294296
Sum7615.525548
Variance1204.340839
MonotonicityNot monotonic
2022-01-22T10:54:20.584020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111.86952211
 
0.5%
100.65750121
 
0.5%
69.425781251
 
0.5%
79.099479681
 
0.5%
65.020378111
 
0.5%
74.413597111
 
0.5%
98.409080511
 
0.5%
56.467700961
 
0.5%
41.484191891
 
0.5%
4.0149798391
 
0.5%
Other values (119)119
54.8%
(Missing)88
40.6%
ValueCountFrequency (%)
1.1902300121
0.5%
1.6114900111
0.5%
2.3243699071
0.5%
2.7582800391
0.5%
3.2849900721
0.5%
ValueCountFrequency (%)
119.04306031
0.5%
116.05416111
0.5%
115.31915281
0.5%
111.86952211
0.5%
106.17958071
0.5%

SE.PRE.ENRR.MA
Real number (ℝ≥0)

MISSING

Distinct129
Distinct (%)100.0%
Missing88
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean59.19346969
Minimum1.329749942
Maximum120.9431305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:20.849745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.329749942
5-th percentile4.071627951
Q125.99671936
median67.62249756
Q389.32514954
95-th percentile106.025972
Maximum120.9431305
Range119.6133806
Interquartile range (IQR)63.32843018

Descriptive statistics

Standard deviation35.03575132
Coefficient of variation (CV)0.5918854142
Kurtosis-1.317278112
Mean59.19346969
Median Absolute Deviation (MAD)31.09737396
Skewness-0.1590228956
Sum7635.95759
Variance1227.503871
MonotonicityNot monotonic
2022-01-22T10:54:21.039516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.01946261
 
0.5%
97.685928341
 
0.5%
68.750640871
 
0.5%
78.639526371
 
0.5%
64.643600461
 
0.5%
76.019531251
 
0.5%
99.213050841
 
0.5%
54.76110841
 
0.5%
42.16408921
 
0.5%
3.920500041
 
0.5%
Other values (119)119
54.8%
(Missing)88
40.6%
ValueCountFrequency (%)
1.3297499421
0.5%
1.7684899571
0.5%
2.4893898961
0.5%
2.8216900831
0.5%
3.0874900821
0.5%
ValueCountFrequency (%)
120.94313051
0.5%
119.69181821
0.5%
115.01946261
0.5%
110.06089021
0.5%
108.43460081
0.5%

SE.PRE.TCAQ.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct39
Distinct (%)84.8%
Missing171
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean67.51427169
Minimum13.32485008
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:21.215333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum13.32485008
5-th percentile25.73689556
Q145.2447958
median66.01188278
Q395.17442131
95-th percentile100
Maximum100
Range86.67514992
Interquartile range (IQR)49.92962551

Descriptive statistics

Standard deviation27.45194346
Coefficient of variation (CV)0.4066094882
Kurtosis-1.354989697
Mean67.51427169
Median Absolute Deviation (MAD)25.37138557
Skewness-0.2526725946
Sum3105.656498
Variance753.6091998
MonotonicityNot monotonic
2022-01-22T10:54:21.384913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1008
 
3.7%
83.110748291
 
0.5%
94.522972111
 
0.5%
90.32147981
 
0.5%
49.956378941
 
0.5%
39.578708651
 
0.5%
58.60831071
 
0.5%
90.006828311
 
0.5%
96.237731931
 
0.5%
33.326591491
 
0.5%
Other values (29)29
 
13.4%
(Missing)171
78.8%
ValueCountFrequency (%)
13.324850081
0.5%
23.424509051
0.5%
25.471700671
0.5%
26.532480241
0.5%
27.708580021
0.5%
ValueCountFrequency (%)
1008
3.7%
97.454856871
 
0.5%
96.237731931
 
0.5%
95.546348571
 
0.5%
95.391571041
 
0.5%

SE.PRE.TCAQ.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct34
Distinct (%)82.9%
Missing176
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean59.56683759
Minimum0
Maximum100
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:21.548559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.483870029
Q129.30327988
median63.15789032
Q393.16770172
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)63.86442184

Descriptive statistics

Standard deviation33.51033134
Coefficient of variation (CV)0.5625669029
Kurtosis-1.298490588
Mean59.56683759
Median Absolute Deviation (MAD)31.84210968
Skewness-0.2634719632
Sum2442.240341
Variance1122.942307
MonotonicityNot monotonic
2022-01-22T10:54:21.732700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1008
 
3.7%
40.517238621
 
0.5%
58.267719271
 
0.5%
60.576919561
 
0.5%
63.157890321
 
0.5%
21.527780531
 
0.5%
5.4838700291
 
0.5%
67.630416871
 
0.5%
42.307689671
 
0.5%
93.167701721
 
0.5%
Other values (24)24
 
11.1%
(Missing)176
81.1%
ValueCountFrequency (%)
01
0.5%
5.2447600361
0.5%
5.4838700291
0.5%
6.5237798691
0.5%
14.285710331
0.5%
ValueCountFrequency (%)
1008
3.7%
97.580650331
 
0.5%
951
 
0.5%
93.167701721
 
0.5%
89.752067571
 
0.5%

SE.PRE.TCAQ.ZS
Real number (ℝ≥0)

MISSING

Distinct46
Distinct (%)86.8%
Missing164
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean69.29685229
Minimum15.09403038
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:21.893216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum15.09403038
5-th percentile24.85570259
Q145.14751816
median72.97296906
Q395.07105255
95-th percentile100
Maximum100
Range84.90596962
Interquartile range (IQR)49.92353439

Descriptive statistics

Standard deviation26.99273602
Coefficient of variation (CV)0.3895232629
Kurtosis-1.203380623
Mean69.29685229
Median Absolute Deviation (MAD)22.23171234
Skewness-0.4099019023
Sum3672.733171
Variance728.6077977
MonotonicityNot monotonic
2022-01-22T10:54:22.091218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1008
 
3.7%
85.189949041
 
0.5%
52.065608981
 
0.5%
94.561401371
 
0.5%
90.32147981
 
0.5%
50.869258881
 
0.5%
39.003250121
 
0.5%
82.223411561
 
0.5%
58.498249051
 
0.5%
58.53818131
 
0.5%
Other values (36)36
 
16.6%
(Missing)164
75.6%
ValueCountFrequency (%)
15.094030381
0.5%
18.111200331
0.5%
22.818870541
0.5%
26.213590621
0.5%
26.532480241
0.5%
ValueCountFrequency (%)
1008
3.7%
98.349922181
 
0.5%
97.458168031
 
0.5%
95.989967351
 
0.5%
95.20468141
 
0.5%

SE.PRM.AGES
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.4%
Missing9
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean6.081730769
Minimum5
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:22.241150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median6
Q36
95-th percentile7
Maximum7
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5715077817
Coefficient of variation (CV)0.09397124
Kurtosis0.04103270058
Mean6.081730769
Median Absolute Deviation (MAD)0
Skewness0.008070568391
Sum1265
Variance0.3266211446
MonotonicityNot monotonic
2022-01-22T10:54:22.364978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
6139
64.1%
743
 
19.8%
526
 
12.0%
(Missing)9
 
4.1%
ValueCountFrequency (%)
526
 
12.0%
6139
64.1%
743
 
19.8%
ValueCountFrequency (%)
743
 
19.8%
6139
64.1%
526
 
12.0%

SE.PRM.CMPT.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct126
Distinct (%)100.0%
Missing91
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean87.1221462
Minimum23.13397026
Maximum118.4399109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:22.525465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum23.13397026
5-th percentile47.61042404
Q181.88441277
median95.07182312
Q399.46034813
95-th percentile106.6275311
Maximum118.4399109
Range95.30594063
Interquartile range (IQR)17.57593536

Descriptive statistics

Standard deviation19.7026669
Coefficient of variation (CV)0.2261499258
Kurtosis0.9692614017
Mean87.1221462
Median Absolute Deviation (MAD)6.672142029
Skewness-1.295295796
Sum10977.39042
Variance388.1950829
MonotonicityNot monotonic
2022-01-22T10:54:22.706701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.63507081
 
0.5%
96.462318421
 
0.5%
92.498413091
 
0.5%
92.671989441
 
0.5%
93.334503171
 
0.5%
101.50836181
 
0.5%
93.802932741
 
0.5%
56.117168431
 
0.5%
99.2801591
 
0.5%
88.801200871
 
0.5%
Other values (116)116
53.5%
(Missing)91
41.9%
ValueCountFrequency (%)
23.133970261
0.5%
28.982070921
0.5%
33.917030331
0.5%
34.008129121
0.5%
44.114421841
0.5%
ValueCountFrequency (%)
118.43991091
0.5%
113.76898191
0.5%
113.46578221
0.5%
108.58033751
0.5%
107.83132171
0.5%

SE.PRM.CMPT.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct125
Distinct (%)100.0%
Missing92
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean88.77417331
Minimum38.50115967
Maximum132.5107269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:22.992049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum38.50115967
5-th percentile53.36428146
Q179.63786316
median94.07660675
Q399.69782257
95-th percentile106.981955
Maximum132.5107269
Range94.00956726
Interquartile range (IQR)20.05995941

Descriptive statistics

Standard deviation16.99341833
Coefficient of variation (CV)0.1914229972
Kurtosis0.6326705457
Mean88.77417331
Median Absolute Deviation (MAD)8.684318542
Skewness-0.8635059433
Sum11096.77166
Variance288.7762666
MonotonicityNot monotonic
2022-01-22T10:54:23.181333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.362907411
 
0.5%
67.323486331
 
0.5%
96.738212591
 
0.5%
97.405746461
 
0.5%
90.732360841
 
0.5%
93.599113461
 
0.5%
100.82929231
 
0.5%
94.076606751
 
0.5%
68.033233641
 
0.5%
99.435913091
 
0.5%
Other values (115)115
53.0%
(Missing)92
42.4%
ValueCountFrequency (%)
38.501159671
0.5%
43.87313081
0.5%
45.154190061
0.5%
45.779788971
0.5%
49.428348541
0.5%
ValueCountFrequency (%)
132.51072691
0.5%
116.29212951
0.5%
115.53347781
0.5%
112.93383031
0.5%
112.36959841
0.5%

SE.PRM.CMPT.ZS
Real number (ℝ≥0)

MISSING

Distinct129
Distinct (%)100.0%
Missing88
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean88.46004155
Minimum30.86058044
Maximum123.122963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:23.358835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30.86058044
5-th percentile53.69623642
Q183.22717285
median94.98464966
Q399.73490143
95-th percentile107.2583618
Maximum123.122963
Range92.26238251
Interquartile range (IQR)16.50772858

Descriptive statistics

Standard deviation18.10798475
Coefficient of variation (CV)0.2047024219
Kurtosis0.7975135916
Mean88.46004155
Median Absolute Deviation (MAD)7.928466797
Skewness-1.118327783
Sum11411.34536
Variance327.8991116
MonotonicityNot monotonic
2022-01-22T10:54:23.539778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.268608091
 
0.5%
96.603721621
 
0.5%
95.002838131
 
0.5%
91.680229191
 
0.5%
93.470191961
 
0.5%
101.16323851
 
0.5%
93.942199711
 
0.5%
62.306388851
 
0.5%
99.360221861
 
0.5%
84.875862121
 
0.5%
Other values (119)119
54.8%
(Missing)88
40.6%
ValueCountFrequency (%)
30.860580441
0.5%
39.227798461
0.5%
39.686820981
0.5%
39.807209011
0.5%
44.381160741
0.5%
ValueCountFrequency (%)
123.1229631
0.5%
116.95599371
0.5%
115.66584011
0.5%
113.33956151
0.5%
111.0539781
0.5%

SE.PRM.CUAT.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)98.2%
Missing160
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean82.4117255
Minimum26.41037941
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:23.709033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum26.41037941
5-th percentile45.02474213
Q173.26455688
median88.03148651
Q397.88600922
95-th percentile99.8538559
Maximum100
Range73.58962059
Interquartile range (IQR)24.62145233

Descriptive statistics

Standard deviation18.57638713
Coefficient of variation (CV)0.2254095157
Kurtosis1.306872745
Mean82.4117255
Median Absolute Deviation (MAD)10.24931335
Skewness-1.323927143
Sum4697.468353
Variance345.0821588
MonotonicityNot monotonic
2022-01-22T10:54:23.897624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1002
 
0.9%
98.496032711
 
0.5%
73.264556881
 
0.5%
97.201972961
 
0.5%
95.575271611
 
0.5%
88.031486511
 
0.5%
98.206283571
 
0.5%
59.101398471
 
0.5%
30.230310441
 
0.5%
82.485496521
 
0.5%
Other values (46)46
 
21.2%
(Missing)160
73.7%
ValueCountFrequency (%)
26.410379411
0.5%
30.230310441
0.5%
36.585868841
0.5%
47.134460451
0.5%
54.15747071
0.5%
ValueCountFrequency (%)
1002
0.9%
99.863731381
0.5%
99.851387021
0.5%
99.790969851
0.5%
99.588638311
0.5%

SE.PRM.CUAT.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)98.2%
Missing160
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean86.93072965
Minimum46.99520111
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:24.092673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum46.99520111
5-th percentile59.14239273
Q179.41690063
median93.99656677
Q398.6701889
95-th percentile99.87779999
Maximum100
Range53.00479889
Interquartile range (IQR)19.25328827

Descriptive statistics

Standard deviation14.5289152
Coefficient of variation (CV)0.1671320976
Kurtosis0.3400754424
Mean86.93072965
Median Absolute Deviation (MAD)5.584579468
Skewness-1.152246455
Sum4955.05159
Variance211.0893768
MonotonicityNot monotonic
2022-01-22T10:54:24.290663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1002
 
0.9%
99.340347291
 
0.5%
76.374031071
 
0.5%
98.469726561
 
0.5%
95.409713751
 
0.5%
94.359413151
 
0.5%
98.399276731
 
0.5%
67.574890141
 
0.5%
60.755901341
 
0.5%
82.775466921
 
0.5%
Other values (46)46
 
21.2%
(Missing)160
73.7%
ValueCountFrequency (%)
46.995201111
0.5%
50.587440491
0.5%
54.509998321
0.5%
60.300491331
0.5%
60.755901341
0.5%
ValueCountFrequency (%)
1002
0.9%
99.898918151
0.5%
99.872520451
0.5%
99.795959471
0.5%
99.581146241
0.5%

SE.PRM.CUAT.ZS
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)98.2%
Missing160
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean84.67241642
Minimum36.30953979
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:24.472799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum36.30953979
5-th percentile50.03717422
Q175.12957001
median91.21787262
Q398.43573761
95-th percentile99.86937408
Maximum100
Range63.69046021
Interquartile range (IQR)23.3061676

Descriptive statistics

Standard deviation16.29946181
Coefficient of variation (CV)0.1925002557
Kurtosis0.7990656807
Mean84.67241642
Median Absolute Deviation (MAD)7.896965027
Skewness-1.220312828
Sum4826.327736
Variance265.6724553
MonotonicityNot monotonic
2022-01-22T10:54:24.640394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1002
 
0.9%
98.885139471
 
0.5%
74.741897581
 
0.5%
97.823226931
 
0.5%
95.494789121
 
0.5%
91.217872621
 
0.5%
98.300758361
 
0.5%
64.443748471
 
0.5%
46.239749911
 
0.5%
82.629356381
 
0.5%
Other values (46)46
 
21.2%
(Missing)160
73.7%
ValueCountFrequency (%)
36.309539791
0.5%
44.27227021
0.5%
46.239749911
0.5%
50.98653031
0.5%
56.959220891
0.5%
ValueCountFrequency (%)
1002
0.9%
99.874336241
0.5%
99.868133541
0.5%
99.793441771
0.5%
99.585182191
0.5%

SE.PRM.DURS
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)2.9%
Missing9
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean5.735576923
Minimum3
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:24.780861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q15
median6
Q36
95-th percentile7
Maximum8
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.846866149
Coefficient of variation (CV)0.1476514325
Kurtosis0.8825901633
Mean5.735576923
Median Absolute Deviation (MAD)0
Skewness-0.8624586534
Sum1193
Variance0.7171822742
MonotonicityNot monotonic
2022-01-22T10:54:25.006243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6130
59.9%
530
 
13.8%
723
 
10.6%
422
 
10.1%
32
 
0.9%
81
 
0.5%
(Missing)9
 
4.1%
ValueCountFrequency (%)
32
 
0.9%
422
 
10.1%
530
 
13.8%
6130
59.9%
723
 
10.6%
ValueCountFrequency (%)
81
 
0.5%
723
 
10.6%
6130
59.9%
530
 
13.8%
422
 
10.1%

SE.PRM.ENRL
Real number (ℝ≥0)

MISSING

Distinct169
Distinct (%)100.0%
Missing48
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean3678552.065
Minimum1577
Maximum138413840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:25.148306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1577
5-th percentile9145.2
Q1122458
median636871
Q32822146
95-th percentile12410142.2
Maximum138413840
Range138412263
Interquartile range (IQR)2699688

Descriptive statistics

Standard deviation13564901.3
Coefficient of variation (CV)3.687565395
Kurtosis73.48509898
Mean3678552.065
Median Absolute Deviation (MAD)614212
Skewness8.205897046
Sum621675299
Variance1.840065472 × 1014
MonotonicityNot monotonic
2022-01-22T10:54:25.321496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98581
 
0.5%
12940151
 
0.5%
5313831
 
0.5%
1174321
 
0.5%
34174041
 
0.5%
32336451
 
0.5%
4065351
 
0.5%
17264521
 
0.5%
215584601
 
0.5%
9237451
 
0.5%
Other values (159)159
73.3%
(Missing)48
 
22.1%
ValueCountFrequency (%)
15771
0.5%
18201
0.5%
20671
0.5%
32011
0.5%
43671
0.5%
ValueCountFrequency (%)
1384138401
0.5%
1010186241
0.5%
303418201
0.5%
215584601
0.5%
187563481
0.5%

SE.PRM.ENRL.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct167
Distinct (%)99.4%
Missing49
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean48.17668298
Minimum39.34104
Maximum50.90681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:25.505779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum39.34104
5-th percentile45.2868285
Q147.82455
median48.48996
Q348.8468325
95-th percentile50.103827
Maximum50.90681
Range11.56577
Interquartile range (IQR)1.0222825

Descriptive statistics

Standard deviation1.544358687
Coefficient of variation (CV)0.032056144
Kurtosis8.935862291
Mean48.17668298
Median Absolute Deviation (MAD)0.454195
Skewness-2.335428472
Sum8093.68274
Variance2.385043754
MonotonicityNot monotonic
2022-01-22T10:54:25.705639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.453012
 
0.9%
48.904441
 
0.5%
48.868061
 
0.5%
49.185911
 
0.5%
50.441361
 
0.5%
48.702221
 
0.5%
49.264151
 
0.5%
43.799421
 
0.5%
46.663851
 
0.5%
48.472681
 
0.5%
Other values (157)157
72.4%
(Missing)49
 
22.6%
ValueCountFrequency (%)
39.341041
0.5%
41.87631
0.5%
42.016531
0.5%
43.799421
0.5%
43.975311
0.5%
ValueCountFrequency (%)
50.906811
0.5%
50.7441
0.5%
50.714291
0.5%
50.505981
0.5%
50.441361
0.5%

SE.PRM.ENRL.TC.ZS
Real number (ℝ≥0)

MISSING

Distinct139
Distinct (%)100.0%
Missing78
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean25.03314784
Minimum6.13353
Maximum84.32027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:25.890856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.13353
5-th percentile9.516651
Q114.200695
median19.70208
Q330.524925
95-th percentile52.458399
Maximum84.32027
Range78.18674
Interquartile range (IQR)16.32423

Descriptive statistics

Standard deviation15.02439007
Coefficient of variation (CV)0.6001798163
Kurtosis2.003020755
Mean25.03314784
Median Absolute Deviation (MAD)7.30063
Skewness1.402117845
Sum3479.60755
Variance225.732297
MonotonicityNot monotonic
2022-01-22T10:54:26.105544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.822531
 
0.5%
30.216381
 
0.5%
21.460531
 
0.5%
79.271721
 
0.5%
12.601151
 
0.5%
29.778421
 
0.5%
38.614451
 
0.5%
37.553191
 
0.5%
31.918671
 
0.5%
58.489611
 
0.5%
Other values (129)129
59.4%
(Missing)78
35.9%
ValueCountFrequency (%)
6.133531
0.5%
6.463111
0.5%
7.356911
0.5%
8.375121
0.5%
9.128651
0.5%
ValueCountFrequency (%)
84.320271
0.5%
79.271721
0.5%
64.618671
0.5%
62.203931
0.5%
58.489611
0.5%

SE.PRM.ENRR
Real number (ℝ≥0)

MISSING

Distinct155
Distinct (%)100.0%
Missing62
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean104.7988368
Minimum62.70835876
Maximum148.2302856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:26.305506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum62.70835876
5-th percentile83.60116577
Q199.47170639
median103.0321426
Q3110.6887512
95-th percentile124.7948975
Maximum148.2302856
Range85.52192688
Interquartile range (IQR)11.21704483

Descriptive statistics

Standard deviation12.95821476
Coefficient of variation (CV)0.1236484597
Kurtosis2.052230895
Mean104.7988368
Median Absolute Deviation (MAD)5.620925903
Skewness0.2390434026
Sum16243.81971
Variance167.9153297
MonotonicityNot monotonic
2022-01-22T10:54:26.472126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.79429631
 
0.5%
101.1109391
 
0.5%
115.19313051
 
0.5%
62.708358761
 
0.5%
85.117851261
 
0.5%
120.64042661
 
0.5%
108.27607731
 
0.5%
99.080116271
 
0.5%
144.45193481
 
0.5%
84.593612671
 
0.5%
Other values (145)145
66.8%
(Missing)62
28.6%
ValueCountFrequency (%)
62.708358761
0.5%
69.382049561
0.5%
71.725982671
0.5%
78.014167791
0.5%
79.784912111
0.5%
ValueCountFrequency (%)
148.23028561
0.5%
144.45193481
0.5%
143.71804811
0.5%
138.75146481
0.5%
137.1701051
0.5%

SE.PRM.ENRR.FE
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)100.0%
Missing63
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean103.2009025
Minimum55.93310928
Maximum150.075943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:26.646834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum55.93310928
5-th percentile76.93852196
Q199.12443924
median102.6384354
Q3109.9736385
95-th percentile121.9418137
Maximum150.075943
Range94.14283371
Interquartile range (IQR)10.8491993

Descriptive statistics

Standard deviation13.88655895
Coefficient of variation (CV)0.1345585029
Kurtosis2.534812575
Mean103.2009025
Median Absolute Deviation (MAD)5.364837646
Skewness0.01336530455
Sum15892.93899
Variance192.8365194
MonotonicityNot monotonic
2022-01-22T10:54:26.863319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.03633881
 
0.5%
101.27700041
 
0.5%
112.93270871
 
0.5%
55.933109281
 
0.5%
80.963851931
 
0.5%
120.12222291
 
0.5%
108.08451841
 
0.5%
99.235710141
 
0.5%
149.94552611
 
0.5%
77.638038641
 
0.5%
Other values (144)144
66.4%
(Missing)63
29.0%
ValueCountFrequency (%)
55.933109281
0.5%
67.769042971
0.5%
68.930397031
0.5%
69.101470951
0.5%
73.407226561
0.5%
ValueCountFrequency (%)
150.0759431
0.5%
149.94552611
0.5%
142.40313721
0.5%
140.1879731
0.5%
136.38740541
0.5%

SE.PRM.ENRR.MA
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)100.0%
Missing63
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean106.4321993
Minimum69.2452774
Maximum146.3757477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:27.146608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum69.2452774
5-th percentile88.73693237
Q199.66765594
median104.0829811
Q3114.4528198
95-th percentile127.9486649
Maximum146.3757477
Range77.13047028
Interquartile range (IQR)14.78516388

Descriptive statistics

Standard deviation12.86183631
Coefficient of variation (CV)0.1208453495
Kurtosis1.304022431
Mean106.4321993
Median Absolute Deviation (MAD)6.008213043
Skewness0.3215619395
Sum16390.55869
Variance165.4268334
MonotonicityNot monotonic
2022-01-22T10:54:27.338462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.52932741
 
0.5%
100.95278931
 
0.5%
117.47628781
 
0.5%
69.24527741
 
0.5%
89.118217471
 
0.5%
121.1320191
 
0.5%
108.45767211
 
0.5%
98.931861881
 
0.5%
139.33216861
 
0.5%
90.998268131
 
0.5%
Other values (144)144
66.4%
(Missing)63
29.0%
ValueCountFrequency (%)
69.24527741
0.5%
69.82340241
0.5%
75.585533141
0.5%
78.75122071
0.5%
81.617691041
0.5%
ValueCountFrequency (%)
146.37574771
0.5%
145.02697751
0.5%
139.33216861
0.5%
137.95140081
0.5%
137.31927491
0.5%

SE.PRM.GINT.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct145
Distinct (%)100.0%
Missing72
Missing (%)33.2%
Infinite0
Infinite (%)0.0%
Mean106.0899243
Minimum69.66082
Maximum192.02099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:27.521690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum69.66082
5-th percentile84.463008
Q197.0632
median101.28731
Q3108.44454
95-th percentile141.748064
Maximum192.02099
Range122.36017
Interquartile range (IQR)11.38134

Descriptive statistics

Standard deviation18.80279727
Coefficient of variation (CV)0.1772345243
Kurtosis5.350173698
Mean106.0899243
Median Absolute Deviation (MAD)5.14479
Skewness1.937349381
Sum15383.03903
Variance353.5451851
MonotonicityNot monotonic
2022-01-22T10:54:27.696378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.590841
 
0.5%
100.291171
 
0.5%
102.187671
 
0.5%
160.683421
 
0.5%
97.023251
 
0.5%
105.385641
 
0.5%
84.276281
 
0.5%
80.412381
 
0.5%
139.737721
 
0.5%
172.449891
 
0.5%
Other values (135)135
62.2%
(Missing)72
33.2%
ValueCountFrequency (%)
69.660821
0.5%
71.183191
0.5%
73.845741
0.5%
75.433331
0.5%
80.412381
0.5%
ValueCountFrequency (%)
192.020991
0.5%
177.646141
0.5%
172.449891
0.5%
160.683421
0.5%
159.152791
0.5%

SE.PRM.GINT.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct145
Distinct (%)100.0%
Missing72
Missing (%)33.2%
Infinite0
Infinite (%)0.0%
Mean108.4624789
Minimum70.52219
Maximum195.96527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:27.874352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum70.52219
5-th percentile90.357554
Q198.29411
median102.5724
Q3114.26148
95-th percentile152.91071
Maximum195.96527
Range125.44308
Interquartile range (IQR)15.96737

Descriptive statistics

Standard deviation19.42399639
Coefficient of variation (CV)0.1790849388
Kurtosis4.041440802
Mean108.4624789
Median Absolute Deviation (MAD)5.32661
Skewness1.782451023
Sum15727.05944
Variance377.2916358
MonotonicityNot monotonic
2022-01-22T10:54:28.071480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.697311
 
0.5%
100.549291
 
0.5%
98.390021
 
0.5%
153.754071
 
0.5%
96.379741
 
0.5%
106.513671
 
0.5%
95.43121
 
0.5%
90.670711
 
0.5%
146.22941
 
0.5%
159.910291
 
0.5%
Other values (135)135
62.2%
(Missing)72
33.2%
ValueCountFrequency (%)
70.522191
0.5%
74.465341
0.5%
79.557451
0.5%
83.672081
0.5%
83.795441
0.5%
ValueCountFrequency (%)
195.965271
0.5%
177.943421
0.5%
164.852341
0.5%
162.41281
0.5%
159.910291
0.5%

SE.PRM.GINT.ZS
Real number (ℝ≥0)

MISSING

Distinct147
Distinct (%)100.0%
Missing70
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean107.396808
Minimum70.09638
Maximum193.98738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:28.256390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum70.09638
5-th percentile86.899514
Q198.25096
median101.91345
Q3111.45513
95-th percentile145.540578
Maximum193.98738
Range123.891
Interquartile range (IQR)13.20417

Descriptive statistics

Standard deviation18.70865337
Coefficient of variation (CV)0.174201205
Kurtosis4.928881021
Mean107.396808
Median Absolute Deviation (MAD)5.63553
Skewness1.889750021
Sum15787.33078
Variance350.013711
MonotonicityNot monotonic
2022-01-22T10:54:28.446294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.156071
 
0.5%
100.422841
 
0.5%
100.250221
 
0.5%
157.207151
 
0.5%
96.691461
 
0.5%
105.948671
 
0.5%
89.950221
 
0.5%
85.644931
 
0.5%
143.063251
 
0.5%
165.942581
 
0.5%
Other values (137)137
63.1%
(Missing)70
32.3%
ValueCountFrequency (%)
70.096381
0.5%
72.845351
0.5%
76.755471
0.5%
79.675021
0.5%
82.890141
0.5%
ValueCountFrequency (%)
193.987381
0.5%
177.795421
0.5%
165.942581
0.5%
160.408791
0.5%
159.657521
0.5%

SE.PRM.NENR
Real number (ℝ≥0)

MISSING

Distinct129
Distinct (%)100.0%
Missing88
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean89.86663047
Minimum45.07741
Maximum99.71354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:28.621367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum45.07741
5-th percentile64.95426
Q187.79701
median92.74722
Q396.5537
95-th percentile99.036
Maximum99.71354
Range54.63613
Interquartile range (IQR)8.75669

Descriptive statistics

Standard deviation10.32675726
Coefficient of variation (CV)0.1149120336
Kurtosis4.0422264
Mean89.86663047
Median Absolute Deviation (MAD)4.11042
Skewness-1.996392841
Sum11592.79533
Variance106.6419156
MonotonicityNot monotonic
2022-01-22T10:54:28.790296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.833161
 
0.5%
89.708561
 
0.5%
94.572851
 
0.5%
96.603041
 
0.5%
95.622481
 
0.5%
65.983011
 
0.5%
99.080121
 
0.5%
99.513121
 
0.5%
94.892651
 
0.5%
64.137831
 
0.5%
Other values (119)119
54.8%
(Missing)88
40.6%
ValueCountFrequency (%)
45.077411
0.5%
54.064241
0.5%
59.913021
0.5%
62.779061
0.5%
63.275251
0.5%
ValueCountFrequency (%)
99.713541
0.5%
99.540731
0.5%
99.513121
0.5%
99.382541
0.5%
99.313741
0.5%

SE.PRM.NENR.FE
Real number (ℝ≥0)

MISSING

Distinct90
Distinct (%)100.0%
Missing127
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean86.546647
Minimum45.22635
Maximum99.52137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:28.985040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum45.22635
5-th percentile58.386235
Q185.0853475
median90.81171
Q394.76099
95-th percentile98.1072805
Maximum99.52137
Range54.29502
Interquartile range (IQR)9.6756425

Descriptive statistics

Standard deviation12.48581092
Coefficient of variation (CV)0.1442668359
Kurtosis1.892505478
Mean86.546647
Median Absolute Deviation (MAD)4.632565
Skewness-1.622489201
Sum7789.19823
Variance155.8954744
MonotonicityNot monotonic
2022-01-22T10:54:29.304416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.984661
 
0.5%
94.526421
 
0.5%
94.891171
 
0.5%
60.557661
 
0.5%
99.235711
 
0.5%
95.966271
 
0.5%
58.105571
 
0.5%
47.990761
 
0.5%
92.835271
 
0.5%
96.374751
 
0.5%
Other values (80)80
36.9%
(Missing)127
58.5%
ValueCountFrequency (%)
45.226351
0.5%
47.990761
0.5%
57.045581
0.5%
57.398921
0.5%
58.105571
0.5%
ValueCountFrequency (%)
99.521371
0.5%
99.235711
0.5%
98.63081
0.5%
98.221261
0.5%
98.205971
0.5%

SE.PRM.NENR.MA
Real number (ℝ≥0)

MISSING

Distinct90
Distinct (%)100.0%
Missing127
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean87.89490789
Minimum44.93186
Maximum98.93186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:29.471098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44.93186
5-th percentile67.853671
Q185.0235325
median90.74598
Q395.0374325
95-th percentile98.125974
Maximum98.93186
Range54
Interquartile range (IQR)10.0139

Descriptive statistics

Standard deviation10.32349162
Coefficient of variation (CV)0.1174526701
Kurtosis3.160083605
Mean87.89490789
Median Absolute Deviation (MAD)4.698275
Skewness-1.69692456
Sum7910.54171
Variance106.5744792
MonotonicityNot monotonic
2022-01-22T10:54:29.670989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.852441
 
0.5%
94.616941
 
0.5%
96.326031
 
0.5%
70.978651
 
0.5%
98.931861
 
0.5%
93.874191
 
0.5%
69.946991
 
0.5%
59.924091
 
0.5%
90.721341
 
0.5%
96.099721
 
0.5%
Other values (80)80
36.9%
(Missing)127
58.5%
ValueCountFrequency (%)
44.931861
0.5%
59.924091
0.5%
62.11811
0.5%
62.340361
0.5%
66.693131
0.5%
ValueCountFrequency (%)
98.931861
0.5%
98.930621
0.5%
98.882181
0.5%
98.237191
0.5%
98.202421
0.5%

SE.PRM.NINT.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)100.0%
Missing145
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean67.40292639
Minimum18.36105
Maximum98.87819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:29.845767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.36105
5-th percentile31.4512165
Q158.7429
median69.224295
Q382.22233
95-th percentile92.90702
Maximum98.87819
Range80.51714
Interquartile range (IQR)23.47943

Descriptive statistics

Standard deviation18.8300461
Coefficient of variation (CV)0.2793654091
Kurtosis0.1959540912
Mean67.40292639
Median Absolute Deviation (MAD)11.592115
Skewness-0.6703701379
Sum4853.0107
Variance354.5706363
MonotonicityNot monotonic
2022-01-22T10:54:30.031296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.285961
 
0.5%
86.820081
 
0.5%
67.025911
 
0.5%
55.203561
 
0.5%
59.141511
 
0.5%
82.759961
 
0.5%
85.10221
 
0.5%
34.011641
 
0.5%
62.337381
 
0.5%
86.533921
 
0.5%
Other values (62)62
28.6%
(Missing)145
66.8%
ValueCountFrequency (%)
18.361051
0.5%
19.598931
0.5%
21.953171
0.5%
28.321811
0.5%
34.011641
0.5%
ValueCountFrequency (%)
98.878191
0.5%
97.989471
0.5%
96.098771
0.5%
93.374191
0.5%
92.524791
0.5%

SE.PRM.NINT.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)100.0%
Missing145
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean68.19295139
Minimum20.23436
Maximum98.63851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:30.222797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20.23436
5-th percentile32.0101315
Q160.48778
median69.370615
Q380.10435
95-th percentile91.8713585
Maximum98.63851
Range78.40415
Interquartile range (IQR)19.61657

Descriptive statistics

Standard deviation18.11924276
Coefficient of variation (CV)0.2657055075
Kurtosis0.5208254786
Mean68.19295139
Median Absolute Deviation (MAD)9.433865
Skewness-0.7438473205
Sum4909.8925
Variance328.3069582
MonotonicityNot monotonic
2022-01-22T10:54:30.406125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.575651
 
0.5%
85.632611
 
0.5%
64.097951
 
0.5%
64.211721
 
0.5%
55.5821
 
0.5%
79.554681
 
0.5%
81.929011
 
0.5%
32.663231
 
0.5%
64.041661
 
0.5%
88.6791
 
0.5%
Other values (62)62
28.6%
(Missing)145
66.8%
ValueCountFrequency (%)
20.234361
0.5%
20.945461
0.5%
21.409921
0.5%
31.21191
0.5%
32.663231
0.5%
ValueCountFrequency (%)
98.638511
0.5%
98.14041
0.5%
96.96971
0.5%
92.833381
0.5%
91.084251
0.5%

SE.PRM.NINT.ZS
Real number (ℝ≥0)

MISSING

Distinct74
Distinct (%)100.0%
Missing143
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean67.41984959
Minimum19.67199
Maximum98.75503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:30.604961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum19.67199
5-th percentile32.090726
Q159.22491
median68.90525
Q380.8855825
95-th percentile92.255113
Maximum98.75503
Range79.08304
Interquartile range (IQR)21.6606725

Descriptive statistics

Standard deviation18.46567856
Coefficient of variation (CV)0.27389083
Kurtosis0.2627704916
Mean67.41984959
Median Absolute Deviation (MAD)11.12018
Skewness-0.6751602877
Sum4989.06887
Variance340.9812848
MonotonicityNot monotonic
2022-01-22T10:54:30.795435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.92981
 
0.5%
65.525981
 
0.5%
59.785551
 
0.5%
57.364871
 
0.5%
81.151951
 
0.5%
83.483331
 
0.5%
33.327361
 
0.5%
63.188191
 
0.5%
87.617391
 
0.5%
19.671991
 
0.5%
Other values (64)64
29.5%
(Missing)143
65.9%
ValueCountFrequency (%)
19.671991
0.5%
19.922271
0.5%
21.678481
0.5%
29.794121
0.5%
33.327361
0.5%
ValueCountFrequency (%)
98.755031
0.5%
98.066041
0.5%
96.562861
0.5%
93.098281
0.5%
91.80111
0.5%

SE.PRM.OENR.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct138
Distinct (%)99.3%
Missing78
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean8.38096777
Minimum0
Maximum33.543
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:30.987000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.501222
Q12.20453
median6.49454
Q312.40703
95-th percentile22.201198
Maximum33.543
Range33.543
Interquartile range (IQR)10.2025

Descriptive statistics

Standard deviation7.529779331
Coefficient of variation (CV)0.8984379296
Kurtosis0.5569223592
Mean8.38096777
Median Absolute Deviation (MAD)4.79265
Skewness1.089782816
Sum1164.95452
Variance56.69757677
MonotonicityNot monotonic
2022-01-22T10:54:31.178643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02
 
0.9%
15.402741
 
0.5%
9.415591
 
0.5%
17.518971
 
0.5%
18.170191
 
0.5%
26.756341
 
0.5%
5.25971
 
0.5%
0.152271
 
0.5%
6.029021
 
0.5%
0.66791
 
0.5%
Other values (128)128
59.0%
(Missing)78
35.9%
ValueCountFrequency (%)
02
0.9%
1 × 10-51
0.5%
0.027451
0.5%
0.152271
0.5%
0.335021
0.5%
ValueCountFrequency (%)
33.5431
0.5%
29.15461
0.5%
27.003671
0.5%
26.828361
0.5%
26.756341
0.5%

SE.PRM.OENR.MA.ZS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct137
Distinct (%)98.6%
Missing78
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean9.828201942
Minimum0
Maximum34.99774
Zeros3
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:31.487004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.616862
Q13.01664
median7.72569
Q314.325955
95-th percentile25.063884
Maximum34.99774
Range34.99774
Interquartile range (IQR)11.309315

Descriptive statistics

Standard deviation8.256165535
Coefficient of variation (CV)0.8400484222
Kurtosis0.2001521873
Mean9.828201942
Median Absolute Deviation (MAD)5.74208
Skewness0.9426415194
Sum1366.12007
Variance68.16426935
MonotonicityNot monotonic
2022-01-22T10:54:31.668321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
1.4%
20.539711
 
0.5%
9.147161
 
0.5%
18.473321
 
0.5%
21.965241
 
0.5%
26.291521
 
0.5%
6.805541
 
0.5%
0.040691
 
0.5%
6.656151
 
0.5%
0.790791
 
0.5%
Other values (127)127
58.5%
(Missing)78
35.9%
ValueCountFrequency (%)
03
1.4%
0.026671
 
0.5%
0.040691
 
0.5%
0.127711
 
0.5%
0.363531
 
0.5%
ValueCountFrequency (%)
34.997741
0.5%
32.298671
0.5%
31.172911
0.5%
30.007781
0.5%
29.399571
0.5%

SE.PRM.OENR.ZS
Real number (ℝ≥0)

MISSING

Distinct140
Distinct (%)99.3%
Missing76
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean9.063495603
Minimum0
Maximum34.29452
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:31.836965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.56359
Q12.76603
median7.19905
Q313.63482
95-th percentile23.2121
Maximum34.29452
Range34.29452
Interquartile range (IQR)10.86879

Descriptive statistics

Standard deviation7.843273881
Coefficient of variation (CV)0.865369635
Kurtosis0.3983122764
Mean9.063495603
Median Absolute Deviation (MAD)4.9963
Skewness1.026511318
Sum1277.95288
Variance61.51694518
MonotonicityNot monotonic
2022-01-22T10:54:32.044883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02
 
0.9%
18.009031
 
0.5%
9.280071
 
0.5%
18.005881
 
0.5%
20.171421
 
0.5%
26.525691
 
0.5%
6.04521
 
0.5%
0.095031
 
0.5%
6.381471
 
0.5%
0.731321
 
0.5%
Other values (130)130
59.9%
(Missing)76
35.0%
ValueCountFrequency (%)
02
0.9%
1 × 10-51
0.5%
0.027061
0.5%
0.095031
0.5%
0.317061
0.5%
ValueCountFrequency (%)
34.294521
0.5%
30.181871
0.5%
29.509571
0.5%
28.209521
0.5%
28.137431
0.5%

SE.PRM.PRIV.ZS
Real number (ℝ≥0)

MISSING

Distinct151
Distinct (%)100.0%
Missing66
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean15.72677417
Minimum0.06064999849
Maximum97.20445251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:32.244844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.06064999849
5-th percentile0.3867850006
Q12.622134924
median8.704050064
Q321.85484028
95-th percentile56.74884415
Maximum97.20445251
Range97.14380252
Interquartile range (IQR)19.23270535

Descriptive statistics

Standard deviation19.09911242
Coefficient of variation (CV)1.214432929
Kurtosis4.032813765
Mean15.72677417
Median Absolute Deviation (MAD)7.173050046
Skewness1.993841333
Sum2374.7429
Variance364.7760952
MonotonicityNot monotonic
2022-01-22T10:54:32.436692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.021102911
 
0.5%
7.9664998051
 
0.5%
4.9298100471
 
0.5%
1.6723999981
 
0.5%
11.409850121
 
0.5%
27.503580091
 
0.5%
9.732080461
 
0.5%
4.9046201711
 
0.5%
3.8312699791
 
0.5%
15.55342961
 
0.5%
Other values (141)141
65.0%
(Missing)66
30.4%
ValueCountFrequency (%)
0.060649998491
0.5%
0.084760002791
0.5%
0.13675999641
0.5%
0.23876999321
0.5%
0.26813998821
0.5%
ValueCountFrequency (%)
97.204452511
0.5%
82.216522221
0.5%
77.303672791
0.5%
74.021102911
0.5%
72.722587591
0.5%

SE.PRM.PRS5.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct83
Distinct (%)100.0%
Missing134
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean85.39737821
Minimum40.10055161
Maximum99.9360733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:32.628193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum40.10055161
5-th percentile50.99405632
Q180.5306282
median91.96098328
Q397.56898117
95-th percentile99.31883698
Maximum99.9360733
Range59.8355217
Interquartile range (IQR)17.03835297

Descriptive statistics

Standard deviation15.97358247
Coefficient of variation (CV)0.1870500336
Kurtosis0.5129922147
Mean85.39737821
Median Absolute Deviation (MAD)6.337295532
Skewness-1.270534117
Sum7087.982391
Variance255.1553368
MonotonicityNot monotonic
2022-01-22T10:54:32.811424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.177291871
 
0.5%
99.680229191
 
0.5%
69.051406861
 
0.5%
60.196720121
 
0.5%
98.534011841
 
0.5%
42.802440641
 
0.5%
98.025268551
 
0.5%
86.574859621
 
0.5%
97.108680731
 
0.5%
40.100551611
 
0.5%
Other values (73)73
33.6%
(Missing)134
61.8%
ValueCountFrequency (%)
40.100551611
0.5%
42.802440641
0.5%
49.370788571
0.5%
49.46714021
0.5%
50.954471591
0.5%
ValueCountFrequency (%)
99.93607331
0.5%
99.680229191
0.5%
99.569396971
0.5%
99.367172241
0.5%
99.327308651
0.5%

SE.PRM.PRS5.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct82
Distinct (%)98.8%
Missing134
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean84.59651267
Minimum38.94094086
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:33.027887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum38.94094086
5-th percentile53.54093094
Q174.82555008
median91.78124237
Q396.94154358
95-th percentile99.89295502
Maximum100
Range61.05905914
Interquartile range (IQR)22.1159935

Descriptive statistics

Standard deviation15.81092084
Coefficient of variation (CV)0.1868980214
Kurtosis0.2615272563
Mean84.59651267
Median Absolute Deviation (MAD)6.701118469
Skewness-1.134252482
Sum7021.510551
Variance249.9852177
MonotonicityNot monotonic
2022-01-22T10:54:33.194577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1002
 
0.9%
87.786537171
 
0.5%
99.49314881
 
0.5%
73.513259891
 
0.5%
58.302280431
 
0.5%
98.482360841
 
0.5%
45.070560461
 
0.5%
95.283180241
 
0.5%
88.552528381
 
0.5%
95.850166321
 
0.5%
Other values (72)72
33.2%
(Missing)134
61.8%
ValueCountFrequency (%)
38.940940861
0.5%
45.070560461
0.5%
47.133579251
0.5%
47.930618291
0.5%
53.20392991
0.5%
ValueCountFrequency (%)
1002
0.9%
99.978866581
0.5%
99.964820861
0.5%
99.937377931
0.5%
99.49314881
0.5%

SE.PRM.PRS5.ZS
Real number (ℝ≥0)

MISSING

Distinct90
Distinct (%)100.0%
Missing127
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean84.85792258
Minimum39.51929855
Maximum99.93675995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:33.386358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum39.51929855
5-th percentile53.44199848
Q175.66320801
median91.79586029
Q396.36162186
95-th percentile99.36396904
Maximum99.93675995
Range60.4174614
Interquartile range (IQR)20.69841385

Descriptive statistics

Standard deviation15.42078443
Coefficient of variation (CV)0.181724746
Kurtosis0.4105195105
Mean84.85792258
Median Absolute Deviation (MAD)6.770954132
Skewness-1.17554394
Sum7637.213032
Variance237.8005924
MonotonicityNot monotonic
2022-01-22T10:54:33.670668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.986747741
 
0.5%
94.872642521
 
0.5%
52.205650331
 
0.5%
99.584213261
 
0.5%
71.470756531
 
0.5%
59.256519321
 
0.5%
98.505546571
 
0.5%
43.980911251
 
0.5%
96.575660711
 
0.5%
87.649459841
 
0.5%
Other values (80)80
36.9%
(Missing)127
58.5%
ValueCountFrequency (%)
39.519298551
0.5%
43.980911251
0.5%
48.245399481
0.5%
48.631340031
0.5%
52.205650331
0.5%
ValueCountFrequency (%)
99.936759951
0.5%
99.774551391
0.5%
99.679603581
0.5%
99.584213261
0.5%
99.51775361
0.5%

SE.PRM.PRSL.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct96
Distinct (%)100.0%
Missing121
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean84.76207455
Minimum24.50597954
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:33.860976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum24.50597954
5-th percentile46.28836632
Q178.08662987
median94.82144547
Q397.66403961
95-th percentile99.299263
Maximum100
Range75.49402046
Interquartile range (IQR)19.57740974

Descriptive statistics

Standard deviation18.87215858
Coefficient of variation (CV)0.2226486159
Kurtosis1.219135615
Mean84.76207455
Median Absolute Deviation (MAD)4.089977264
Skewness-1.481589546
Sum8137.159157
Variance356.1583695
MonotonicityNot monotonic
2022-01-22T10:54:34.044370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62.003360751
 
0.5%
80.687599181
 
0.5%
95.838539121
 
0.5%
50.954471591
 
0.5%
99.067657471
 
0.5%
66.873382571
 
0.5%
51.550449371
 
0.5%
97.651832581
 
0.5%
26.053819661
 
0.5%
96.374198911
 
0.5%
Other values (86)86
39.6%
(Missing)121
55.8%
ValueCountFrequency (%)
24.505979541
0.5%
26.053819661
0.5%
40.100551611
0.5%
41.630760191
0.5%
43.917339321
0.5%
ValueCountFrequency (%)
1001
0.5%
99.93607331
0.5%
99.916290281
0.5%
99.607406621
0.5%
99.367172241
0.5%

SE.PRM.PRSL.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct95
Distinct (%)99.0%
Missing121
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean83.91603287
Minimum25.17116928
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:34.221540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum25.17116928
5-th percentile48.24964142
Q174.56040955
median93.24729156
Q397.70881844
95-th percentile99.77776146
Maximum100
Range74.82883072
Interquartile range (IQR)23.14840889

Descriptive statistics

Standard deviation18.81009711
Coefficient of variation (CV)0.2241537935
Kurtosis0.7740148908
Mean83.91603287
Median Absolute Deviation (MAD)5.720264435
Skewness-1.325477089
Sum8055.939156
Variance353.8197531
MonotonicityNot monotonic
2022-01-22T10:54:34.405741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1002
 
0.9%
77.079391481
 
0.5%
82.341079711
 
0.5%
91.986152651
 
0.5%
53.20392991
 
0.5%
99.49314881
 
0.5%
71.39418031
 
0.5%
50.239830021
 
0.5%
97.150840761
 
0.5%
27.795490261
 
0.5%
Other values (85)85
39.2%
(Missing)121
55.8%
ValueCountFrequency (%)
25.171169281
0.5%
27.795490261
0.5%
38.940940861
0.5%
39.833190921
0.5%
47.258411411
0.5%
ValueCountFrequency (%)
1002
0.9%
99.926422121
0.5%
99.853240971
0.5%
99.812362671
0.5%
99.766227721
0.5%

SE.PRM.PRSL.ZS
Real number (ℝ≥0)

MISSING

Distinct101
Distinct (%)100.0%
Missing116
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean84.58560942
Minimum24.83779907
Maximum99.93113708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:34.586042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum24.83779907
5-th percentile49.33515167
Q175.49311066
median93.84261322
Q397.3955307
95-th percentile99.41165924
Maximum99.93113708
Range75.09333801
Interquartile range (IQR)21.90242004

Descriptive statistics

Standard deviation18.44135232
Coefficient of variation (CV)0.2180199735
Kurtosis1.120640267
Mean84.58560942
Median Absolute Deviation (MAD)4.637145996
Skewness-1.433257093
Sum8543.146551
Variance340.0834754
MonotonicityNot monotonic
2022-01-22T10:54:34.769241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.493110661
 
0.5%
98.53228761
 
0.5%
81.523361211
 
0.5%
93.842613221
 
0.5%
52.205650331
 
0.5%
99.285186771
 
0.5%
69.329612731
 
0.5%
50.901748661
 
0.5%
97.39553071
 
0.5%
26.961000441
 
0.5%
Other values (91)91
41.9%
(Missing)116
53.5%
ValueCountFrequency (%)
24.837799071
0.5%
26.961000441
0.5%
39.519298551
0.5%
40.655918121
0.5%
46.472820281
0.5%
ValueCountFrequency (%)
99.931137081
0.5%
99.839431761
0.5%
99.615516661
0.5%
99.51775361
0.5%
99.425201421
0.5%

SE.PRM.REPT.FE.ZS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct132
Distinct (%)94.3%
Missing77
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean5.187233643
Minimum0
Maximum33.87014
Zeros9
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:34.958920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4660075
median2.765305
Q36.8331175
95-th percentile18.4346325
Maximum33.87014
Range33.87014
Interquartile range (IQR)6.36711

Descriptive statistics

Standard deviation6.217499553
Coefficient of variation (CV)1.198615675
Kurtosis2.997084173
Mean5.187233643
Median Absolute Deviation (MAD)2.538705
Skewness1.653047629
Sum726.21271
Variance38.6573007
MonotonicityNot monotonic
2022-01-22T10:54:35.119175image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09
 
4.1%
2.841071
 
0.5%
0.850231
 
0.5%
0.335811
 
0.5%
0.068561
 
0.5%
7.144061
 
0.5%
3.548741
 
0.5%
18.721771
 
0.5%
0.451361
 
0.5%
13.157341
 
0.5%
Other values (122)122
56.2%
(Missing)77
35.5%
ValueCountFrequency (%)
09
4.1%
0.000891
 
0.5%
0.005341
 
0.5%
0.03271
 
0.5%
0.040791
 
0.5%
ValueCountFrequency (%)
33.870141
0.5%
22.893231
0.5%
22.253251
0.5%
20.87081
0.5%
18.974311
0.5%

SE.PRM.REPT.MA.ZS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct132
Distinct (%)94.3%
Missing77
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean6.130671643
Minimum0
Maximum33.51854
Zeros9
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:35.303370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7217325
median4.118235
Q39.2215975
95-th percentile20.315417
Maximum33.51854
Range33.51854
Interquartile range (IQR)8.499865

Descriptive statistics

Standard deviation6.662255161
Coefficient of variation (CV)1.086708855
Kurtosis1.532175039
Mean6.130671643
Median Absolute Deviation (MAD)3.595675
Skewness1.328843214
Sum858.29403
Variance44.38564383
MonotonicityNot monotonic
2022-01-22T10:54:35.471183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09
 
4.1%
4.105781
 
0.5%
0.893911
 
0.5%
0.254881
 
0.5%
0.060091
 
0.5%
7.727641
 
0.5%
3.361251
 
0.5%
19.212761
 
0.5%
1.095691
 
0.5%
17.957031
 
0.5%
Other values (122)122
56.2%
(Missing)77
35.5%
ValueCountFrequency (%)
09
4.1%
0.003761
 
0.5%
0.008561
 
0.5%
0.060091
 
0.5%
0.071131
 
0.5%
ValueCountFrequency (%)
33.518541
0.5%
23.370491
0.5%
22.017131
0.5%
21.966421
0.5%
21.360931
0.5%

SE.PRM.REPT.ZS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct134
Distinct (%)93.7%
Missing74
Missing (%)34.1%
Infinite0
Infinite (%)0.0%
Mean5.672747622
Minimum0
Maximum33.69318
Zeros9
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:35.753288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.603995
median3.4557
Q37.767595
95-th percentile19.070076
Maximum33.69318
Range33.69318
Interquartile range (IQR)7.1636

Descriptive statistics

Standard deviation6.371201031
Coefficient of variation (CV)1.123124358
Kurtosis2.168535534
Mean5.672747622
Median Absolute Deviation (MAD)3.1641
Skewness1.458866435
Sum811.20291
Variance40.59220257
MonotonicityNot monotonic
2022-01-22T10:54:35.936627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09
 
4.1%
0.064242
 
0.9%
1.694641
 
0.5%
0.002391
 
0.5%
6.190591
 
0.5%
5.537971
 
0.5%
4.312821
 
0.5%
14.068341
 
0.5%
7.940181
 
0.5%
4.417611
 
0.5%
Other values (124)124
57.1%
(Missing)74
34.1%
ValueCountFrequency (%)
09
4.1%
0.002391
 
0.5%
0.0071
 
0.5%
0.038291
 
0.5%
0.057941
 
0.5%
ValueCountFrequency (%)
33.693181
0.5%
22.355841
0.5%
22.128971
0.5%
20.687551
0.5%
20.189041
0.5%

SE.PRM.TCAQ.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct51
Distinct (%)83.6%
Missing156
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean82.67040178
Minimum40.19461823
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:36.135509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum40.19461823
5-th percentile46.16725159
Q168.41233826
median90.80973816
Q397.57421875
95-th percentile100
Maximum100
Range59.80538177
Interquartile range (IQR)29.16188049

Descriptive statistics

Standard deviation17.73501999
Coefficient of variation (CV)0.2145268392
Kurtosis-0.4017790256
Mean82.67040178
Median Absolute Deviation (MAD)9.190261841
Skewness-0.8775603081
Sum5042.894508
Variance314.5309341
MonotonicityNot monotonic
2022-01-22T10:54:36.313287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10011
 
5.1%
86.739128111
 
0.5%
77.016281131
 
0.5%
99.860168461
 
0.5%
97.574218751
 
0.5%
81.458656311
 
0.5%
96.715332031
 
0.5%
95.355339051
 
0.5%
96.918617251
 
0.5%
71.67587281
 
0.5%
Other values (41)41
 
18.9%
(Missing)156
71.9%
ValueCountFrequency (%)
40.194618231
0.5%
42.946430211
0.5%
44.735759741
0.5%
46.167251591
0.5%
49.753688811
0.5%
ValueCountFrequency (%)
10011
5.1%
99.987030031
 
0.5%
99.860168461
 
0.5%
99.544471741
 
0.5%
98.458541871
 
0.5%

SE.PRM.TCAQ.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct50
Distinct (%)83.3%
Missing157
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean79.22266591
Minimum33.42060852
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:36.485386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum33.42060852
5-th percentile42.10841522
Q160.54881477
median88.74451447
Q397.6137886
95-th percentile100
Maximum100
Range66.57939148
Interquartile range (IQR)37.06497383

Descriptive statistics

Standard deviation20.93285704
Coefficient of variation (CV)0.2642281322
Kurtosis-0.942459187
Mean79.22266591
Median Absolute Deviation (MAD)11.25548553
Skewness-0.6982101095
Sum4753.359955
Variance438.1845039
MonotonicityNot monotonic
2022-01-22T10:54:36.652040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10011
 
5.1%
97.899330141
 
0.5%
75.51020051
 
0.5%
70.558380131
 
0.5%
76.795013431
 
0.5%
99.860267641
 
0.5%
97.518608091
 
0.5%
72.386581421
 
0.5%
95.376823431
 
0.5%
95.356452941
 
0.5%
Other values (40)40
 
18.4%
(Missing)157
72.4%
ValueCountFrequency (%)
33.420608521
0.5%
38.805969241
0.5%
41.559631351
0.5%
42.137298581
0.5%
42.635658261
0.5%
ValueCountFrequency (%)
10011
5.1%
99.920951841
 
0.5%
99.860267641
 
0.5%
98.699462891
 
0.5%
97.899330141
 
0.5%

SE.PRM.TCAQ.ZS
Real number (ℝ≥0)

MISSING

Distinct61
Distinct (%)85.9%
Missing146
Missing (%)67.3%
Infinite0
Infinite (%)0.0%
Mean82.65988766
Minimum38.93130112
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:36.829054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum38.93130112
5-th percentile46.55498123
Q169.29159927
median89.71484375
Q397.95330429
95-th percentile100
Maximum100
Range61.06869888
Interquartile range (IQR)28.66170502

Descriptive statistics

Standard deviation18.04524816
Coefficient of variation (CV)0.2183071943
Kurtosis-0.4293684758
Mean82.65988766
Median Absolute Deviation (MAD)10.28515625
Skewness-0.9000806413
Sum5868.852024
Variance325.6309811
MonotonicityNot monotonic
2022-01-22T10:54:37.026752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10011
 
5.1%
91.630210881
 
0.5%
84.717819211
 
0.5%
76.95725251
 
0.5%
95.585906981
 
0.5%
99.860183721
 
0.5%
97.57173921
 
0.5%
75.943077091
 
0.5%
95.912780761
 
0.5%
95.355691
 
0.5%
Other values (51)51
 
23.5%
(Missing)146
67.3%
ValueCountFrequency (%)
38.931301121
0.5%
42.631031041
0.5%
45.204898831
0.5%
45.25711061
0.5%
47.852851871
0.5%
ValueCountFrequency (%)
10011
5.1%
99.979362491
 
0.5%
99.862762451
 
0.5%
99.860183721
 
0.5%
99.761581421
 
0.5%

SE.PRM.TCHR
Real number (ℝ≥0)

MISSING

Distinct141
Distinct (%)100.0%
Missing76
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean134646.1915
Minimum242
Maximum5997393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:37.233088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum242
5-th percentile608
Q16281
median29743
Q398763
95-th percentile395281
Maximum5997393
Range5997151
Interquartile range (IQR)92482

Descriptive statistics

Standard deviation528747.5158
Coefficient of variation (CV)3.926940005
Kurtosis110.087998
Mean134646.1915
Median Absolute Deviation (MAD)27341
Skewness10.04745145
Sum18985113
Variance2.795739355 × 1011
MonotonicityNot monotonic
2022-01-22T10:54:37.401755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5861
 
0.5%
305711
 
0.5%
54721
 
0.5%
431101
 
0.5%
2566151
 
0.5%
136521
 
0.5%
447101
 
0.5%
5740781
 
0.5%
1535361
 
0.5%
902361
 
0.5%
Other values (131)131
60.4%
(Missing)76
35.0%
ValueCountFrequency (%)
2421
0.5%
2441
0.5%
3371
0.5%
4431
0.5%
4531
0.5%
ValueCountFrequency (%)
59973931
0.5%
15959551
0.5%
7621321
0.5%
5740781
0.5%
5295991
0.5%

SE.PRM.TCHR.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct139
Distinct (%)100.0%
Missing78
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean69.27307799
Minimum13.78973007
Maximum99.31401062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:37.577551image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum13.78973007
5-th percentile28.48714809
Q151.83315086
median77.11904144
Q386.40387344
95-th percentile96.67053223
Maximum99.31401062
Range85.52428055
Interquartile range (IQR)34.57072258

Descriptive statistics

Standard deviation21.91576816
Coefficient of variation (CV)0.3163677549
Kurtosis-0.56140714
Mean69.27307799
Median Absolute Deviation (MAD)13.28847504
Skewness-0.7051928237
Sum9628.957841
Variance480.3008941
MonotonicityNot monotonic
2022-01-22T10:54:37.851600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.129692081
 
0.5%
48.199718481
 
0.5%
36.083339691
 
0.5%
69.846488951
 
0.5%
40.041751861
 
0.5%
68.706039431
 
0.5%
68.224441531
 
0.5%
44.676811221
 
0.5%
77.020713811
 
0.5%
95.551879881
 
0.5%
Other values (129)129
59.4%
(Missing)78
35.9%
ValueCountFrequency (%)
13.789730071
0.5%
14.338669781
0.5%
19.001039511
0.5%
21.783649441
0.5%
25.160259251
0.5%
ValueCountFrequency (%)
99.314010621
0.5%
98.579872131
0.5%
98.434448241
0.5%
97.67543031
0.5%
97.548156741
0.5%

SE.PRM.TENR
Real number (ℝ≥0)

MISSING

Distinct120
Distinct (%)100.0%
Missing97
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean91.6574595
Minimum45.07741
Maximum99.8448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:38.026281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum45.07741
5-th percentile68.2601405
Q189.1883475
median95.2724
Q398.05943
95-th percentile99.3866435
Maximum99.8448
Range54.76739
Interquartile range (IQR)8.8710825

Descriptive statistics

Standard deviation10.00304558
Coefficient of variation (CV)0.1091350954
Kurtosis5.156849172
Mean91.6574595
Median Absolute Deviation (MAD)3.706625
Skewness-2.163337562
Sum10998.89514
Variance100.0609209
MonotonicityNot monotonic
2022-01-22T10:54:38.209541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.554041
 
0.5%
90.031911
 
0.5%
94.713171
 
0.5%
99.321551
 
0.5%
96.246581
 
0.5%
65.983011
 
0.5%
99.080121
 
0.5%
96.319711
 
0.5%
65.982921
 
0.5%
55.147221
 
0.5%
Other values (110)110
50.7%
(Missing)97
44.7%
ValueCountFrequency (%)
45.077411
0.5%
55.147221
0.5%
65.470231
0.5%
65.982921
0.5%
65.983011
0.5%
ValueCountFrequency (%)
99.84481
0.5%
99.72951
0.5%
99.636311
0.5%
99.509471
0.5%
99.487711
0.5%

SE.PRM.TENR.FE
Real number (ℝ≥0)

MISSING

Distinct86
Distinct (%)100.0%
Missing131
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean88.69421395
Minimum45.22635
Maximum99.59231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:38.395347image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum45.22635
5-th percentile61.8150975
Q186.8610275
median92.75736
Q396.3228025
95-th percentile98.7032325
Maximum99.59231
Range54.36596
Interquartile range (IQR)9.461775

Descriptive statistics

Standard deviation11.89206768
Coefficient of variation (CV)0.1340794078
Kurtosis2.90357502
Mean88.69421395
Median Absolute Deviation (MAD)4.46313
Skewness-1.803999229
Sum7627.7024
Variance141.4212738
MonotonicityNot monotonic
2022-01-22T10:54:38.585659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.254571
 
0.5%
92.844681
 
0.5%
94.705531
 
0.5%
95.541471
 
0.5%
60.557661
 
0.5%
99.235711
 
0.5%
97.597361
 
0.5%
60.005941
 
0.5%
48.735471
 
0.5%
96.374751
 
0.5%
Other values (76)76
35.0%
(Missing)131
60.4%
ValueCountFrequency (%)
45.226351
0.5%
48.735471
0.5%
60.005941
0.5%
60.557661
0.5%
61.520971
0.5%
ValueCountFrequency (%)
99.592311
0.5%
99.589741
0.5%
99.376941
0.5%
99.235711
0.5%
98.791761
0.5%

SE.PRM.TENR.MA
Real number (ℝ≥0)

MISSING

Distinct86
Distinct (%)100.0%
Missing131
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean89.68105826
Minimum44.93186
Maximum99.51633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:38.751294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44.93186
5-th percentile70.2559425
Q187.0189375
median93.502495
Q396.78794
95-th percentile99.005195
Maximum99.51633
Range54.58447
Interquartile range (IQR)9.7690025

Descriptive statistics

Standard deviation10.01744956
Coefficient of variation (CV)0.1117008402
Kurtosis4.32483274
Mean89.68105826
Median Absolute Deviation (MAD)4.003585
Skewness-1.887000233
Sum7712.57101
Variance100.3492957
MonotonicityNot monotonic
2022-01-22T10:54:38.919600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.591061
 
0.5%
87.449431
 
0.5%
94.720431
 
0.5%
96.924921
 
0.5%
70.978651
 
0.5%
98.931861
 
0.5%
95.10771
 
0.5%
71.738871
 
0.5%
61.333441
 
0.5%
96.099721
 
0.5%
Other values (76)76
35.0%
(Missing)131
60.4%
ValueCountFrequency (%)
44.931861
0.5%
61.333441
0.5%
66.595421
0.5%
69.287151
0.5%
70.015041
0.5%
ValueCountFrequency (%)
99.516331
0.5%
99.352251
0.5%
99.153181
0.5%
99.112841
0.5%
99.029641
0.5%

SE.PRM.UNER
Real number (ℝ≥0)

MISSING

Distinct123
Distinct (%)100.0%
Missing94
Missing (%)43.3%
Infinite0
Infinite (%)0.0%
Mean255206.3008
Minimum0
Maximum8615770
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:39.103103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile77.2
Q12287.5
median19065
Q3114521
95-th percentile766392.8
Maximum8615770
Range8615770
Interquartile range (IQR)112233.5

Descriptive statistics

Standard deviation961878.0525
Coefficient of variation (CV)3.76902157
Kurtosis52.46811968
Mean255206.3008
Median Absolute Deviation (MAD)18908
Skewness6.853287372
Sum31390375
Variance9.252093879 × 1011
MonotonicityNot monotonic
2022-01-22T10:54:39.267728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
791
 
0.5%
12571
 
0.5%
306731
 
0.5%
1119111
 
0.5%
174751
 
0.5%
135641
 
0.5%
34191
 
0.5%
281801
 
0.5%
86157701
 
0.5%
12348621
 
0.5%
Other values (113)113
52.1%
(Missing)94
43.3%
ValueCountFrequency (%)
01
0.5%
151
0.5%
161
0.5%
191
0.5%
481
0.5%
ValueCountFrequency (%)
86157701
0.5%
49220411
0.5%
38119081
0.5%
12348621
0.5%
10426951
0.5%

SE.PRM.UNER.FE
Real number (ℝ≥0)

MISSING

Distinct85
Distinct (%)100.0%
Missing132
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean180973.4235
Minimum33
Maximum4969385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:39.451976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile383.4
Q14931
median31744
Q371625
95-th percentile538843.2
Maximum4969385
Range4969352
Interquartile range (IQR)66694

Descriptive statistics

Standard deviation602480.5145
Coefficient of variation (CV)3.329110445
Kurtosis49.34209723
Mean180973.4235
Median Absolute Deviation (MAD)29213
Skewness6.598827394
Sum15382741
Variance3.629827703 × 1011
MonotonicityNot monotonic
2022-01-22T10:54:39.635420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
679011
 
0.5%
554211
 
0.5%
81011
 
0.5%
13431
 
0.5%
89561
 
0.5%
49693851
 
0.5%
6930601
 
0.5%
101891
 
0.5%
569731
 
0.5%
3096341
 
0.5%
Other values (75)75
34.6%
(Missing)132
60.8%
ValueCountFrequency (%)
331
0.5%
601
0.5%
1661
0.5%
3241
0.5%
3721
0.5%
ValueCountFrequency (%)
49693851
0.5%
20238721
0.5%
15043931
0.5%
6930601
0.5%
5447281
0.5%

SE.PRM.UNER.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct88
Distinct (%)100.0%
Missing129
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean10.61679867
Minimum0.2898600101
Maximum54.77365112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:39.909897image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2898600101
5-th percentile0.6958119929
Q12.465217412
median5.534684896
Q311.86532235
95-th percentile39.43879948
Maximum54.77365112
Range54.48379111
Interquartile range (IQR)9.40010494

Descriptive statistics

Standard deviation12.58226597
Coefficient of variation (CV)1.185128056
Kurtosis2.593775212
Mean10.61679867
Median Absolute Deviation (MAD)3.962879896
Skewness1.81271427
Sum934.2782832
Variance158.3134169
MonotonicityNot monotonic
2022-01-22T10:54:40.125592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.9633698461
 
0.5%
7.1553201681
 
0.5%
4.9140801431
 
0.5%
3.9491100311
 
0.5%
0.64313000441
 
0.5%
2.4026401041
 
0.5%
39.994060521
 
0.5%
51.264530181
 
0.5%
5.7454299931
 
0.5%
3.6252501011
 
0.5%
Other values (78)78
35.9%
(Missing)129
59.4%
ValueCountFrequency (%)
0.28986001011
0.5%
0.35923001171
0.5%
0.41025999191
0.5%
0.6230599881
0.5%
0.64313000441
0.5%
ValueCountFrequency (%)
54.773651121
0.5%
51.264530181
0.5%
42.464759831
0.5%
42.249801641
0.5%
39.994060521
0.5%

SE.PRM.UNER.MA
Real number (ℝ≥0)

MISSING

Distinct84
Distinct (%)98.8%
Missing132
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean172945.3294
Minimum44
Maximum3646385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:40.299726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile460.2
Q15122
median29854
Q387059
95-th percentile485279.4
Maximum3646385
Range3646341
Interquartile range (IQR)81937

Descriptive statistics

Standard deviation568475.9465
Coefficient of variation (CV)3.28702688
Kurtosis29.12375343
Mean172945.3294
Median Absolute Deviation (MAD)27454
Skewness5.319493313
Sum14700353
Variance3.231649018 × 1011
MonotonicityNot monotonic
2022-01-22T10:54:40.469355image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20762
 
0.9%
204531
 
0.5%
201341
 
0.5%
564901
 
0.5%
54631
 
0.5%
192241
 
0.5%
36463851
 
0.5%
5418021
 
0.5%
147641
 
0.5%
651321
 
0.5%
Other values (74)74
34.1%
(Missing)132
60.8%
ValueCountFrequency (%)
441
0.5%
1471
0.5%
3341
0.5%
3591
0.5%
4431
0.5%
ValueCountFrequency (%)
36463851
0.5%
34176481
0.5%
17880361
0.5%
5418021
0.5%
4979671
0.5%

SE.PRM.UNER.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct88
Distinct (%)100.0%
Missing129
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean9.398781875
Minimum0.4813500047
Maximum55.06813812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:40.650657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.4813500047
5-th percentile0.9415130258
Q12.325917482
median5.057120085
Q311.93205738
95-th percentile30.24358597
Maximum55.06813812
Range54.58678812
Interquartile range (IQR)9.606139898

Descriptive statistics

Standard deviation10.48583368
Coefficient of variation (CV)1.115658797
Kurtosis4.08558682
Mean9.398781875
Median Absolute Deviation (MAD)3.624955118
Skewness1.943987666
Sum827.092805
Variance109.9527079
MonotonicityNot monotonic
2022-01-22T10:54:40.815196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3462100031
 
0.5%
12.550569531
 
0.5%
4.7570400241
 
0.5%
2.5620200631
 
0.5%
0.94722002741
 
0.5%
4.8923001291
 
0.5%
28.261129381
 
0.5%
38.666561131
 
0.5%
8.4089403151
 
0.5%
3.9002799991
 
0.5%
Other values (78)78
35.9%
(Missing)129
59.4%
ValueCountFrequency (%)
0.48135000471
0.5%
0.647750021
0.5%
0.65074998141
0.5%
0.88716000321
0.5%
0.93844002491
0.5%
ValueCountFrequency (%)
55.068138121
0.5%
38.666561131
0.5%
37.290088651
0.5%
33.404579161
0.5%
30.648420331
0.5%

SE.PRM.UNER.ZS
Real number (ℝ≥0)

MISSING

Distinct126
Distinct (%)100.0%
Missing91
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean7.268505181
Minimum0
Maximum54.92258835
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:40.990639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09225250036
Q10.878082484
median3.298455
Q39.638062716
95-th percentile32.00217628
Maximum54.92258835
Range54.92258835
Interquartile range (IQR)8.759980232

Descriptive statistics

Standard deviation10.38084691
Coefficient of variation (CV)1.428195571
Kurtosis5.255642373
Mean7.268505181
Median Absolute Deviation (MAD)2.678689986
Skewness2.278905303
Sum915.8316529
Variance107.7619825
MonotonicityNot monotonic
2022-01-22T10:54:41.169912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3985700611
 
0.5%
4.8335399631
 
0.5%
0.51028001311
 
0.5%
3.2421500681
 
0.5%
0.79884999991
 
0.5%
3.6802899841
 
0.5%
34.01707841
 
0.5%
44.852779391
 
0.5%
7.0705199241
 
0.5%
3.7669401171
 
0.5%
Other values (116)116
53.5%
(Missing)91
41.9%
ValueCountFrequency (%)
01
0.5%
0.003640000011
0.5%
0.021670000631
0.5%
0.034549999981
0.5%
0.039209999141
0.5%
ValueCountFrequency (%)
54.922588351
0.5%
44.852779391
0.5%
39.726409911
0.5%
34.46189881
0.5%
34.01707841
0.5%

SE.SEC.AGES
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.4%
Missing12
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean11.8195122
Minimum10
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:41.315044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q111
median12
Q312
95-th percentile13
Maximum14
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.846914675
Coefficient of variation (CV)0.07165394485
Kurtosis0.1760965211
Mean11.8195122
Median Absolute Deviation (MAD)0
Skewness-0.1350034785
Sum2423
Variance0.7172644668
MonotonicityNot monotonic
2022-01-22T10:54:41.432691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
12106
48.8%
1149
22.6%
1332
 
14.7%
1014
 
6.5%
144
 
1.8%
(Missing)12
 
5.5%
ValueCountFrequency (%)
1014
 
6.5%
1149
22.6%
12106
48.8%
1332
 
14.7%
144
 
1.8%
ValueCountFrequency (%)
144
 
1.8%
1332
 
14.7%
12106
48.8%
1149
22.6%
1014
 
6.5%

SE.SEC.CMPT.LO.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct121
Distinct (%)100.0%
Missing96
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean76.09947626
Minimum7.237380028
Maximum128.9473724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:41.575097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.237380028
5-th percentile24.86211967
Q156.3644104
median86.06369019
Q397.65550232
95-th percentile108.5419693
Maximum128.9473724
Range121.7099924
Interquartile range (IQR)41.29109192

Descriptive statistics

Standard deviation28.13782373
Coefficient of variation (CV)0.369750557
Kurtosis-0.3854566703
Mean76.09947626
Median Absolute Deviation (MAD)14.26042175
Skewness-0.8046778323
Sum9208.036628
Variance791.7371244
MonotonicityNot monotonic
2022-01-22T10:54:41.766974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.057720181
 
0.5%
91.40521241
 
0.5%
87.702308651
 
0.5%
72.771530151
 
0.5%
88.869941711
 
0.5%
73.845642091
 
0.5%
33.645679471
 
0.5%
66.284606931
 
0.5%
98.060066221
 
0.5%
73.075859071
 
0.5%
Other values (111)111
51.2%
(Missing)96
44.2%
ValueCountFrequency (%)
7.2373800281
0.5%
8.8977499011
0.5%
13.666430471
0.5%
14.610170361
0.5%
17.810340881
0.5%
ValueCountFrequency (%)
128.94737241
0.5%
117.27799221
0.5%
116.14852911
0.5%
109.81507871
0.5%
109.67742161
0.5%

SE.SEC.CMPT.LO.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct121
Distinct (%)100.0%
Missing96
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean75.08551389
Minimum10.06120968
Maximum116.575798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:42.060614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.06120968
5-th percentile27.26919937
Q156.47000885
median82.75453949
Q397.49289703
95-th percentile106.2697678
Maximum116.575798
Range106.5145884
Interquartile range (IQR)41.02288818

Descriptive statistics

Standard deviation25.52175683
Coefficient of variation (CV)0.3399025392
Kurtosis-0.5964928695
Mean75.08551389
Median Absolute Deviation (MAD)17.21453094
Skewness-0.6101705284
Sum9085.34718
Variance651.3600716
MonotonicityNot monotonic
2022-01-22T10:54:42.233412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.085121151
 
0.5%
90.2163621
 
0.5%
75.868103031
 
0.5%
67.235778811
 
0.5%
83.910156251
 
0.5%
66.154571531
 
0.5%
42.965370181
 
0.5%
66.945556641
 
0.5%
97.492897031
 
0.5%
60.098739621
 
0.5%
Other values (111)111
51.2%
(Missing)96
44.2%
ValueCountFrequency (%)
10.061209681
0.5%
18.208929061
0.5%
19.547119141
0.5%
21.203559881
0.5%
23.185930251
0.5%
ValueCountFrequency (%)
116.5757981
0.5%
115.970521
0.5%
110.53604131
0.5%
110.32864381
0.5%
108.92857361
0.5%

SE.SEC.CMPT.LO.ZS
Real number (ℝ≥0)

MISSING

Distinct123
Distinct (%)100.0%
Missing94
Missing (%)43.3%
Infinite0
Infinite (%)0.0%
Mean75.8845458
Minimum8.676429749
Maximum119.1066971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:42.416696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8.676429749
5-th percentile28.04939785
Q156.95566559
median84.94763184
Q397.6196785
95-th percentile106.3197052
Maximum119.1066971
Range110.4302673
Interquartile range (IQR)40.66401291

Descriptive statistics

Standard deviation26.42818457
Coefficient of variation (CV)0.3482683369
Kurtosis-0.4718695582
Mean75.8845458
Median Absolute Deviation (MAD)14.96113586
Skewness-0.7400837419
Sum9333.799133
Variance698.4489394
MonotonicityNot monotonic
2022-01-22T10:54:42.585457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.493040081
 
0.5%
90.795280461
 
0.5%
81.666076661
 
0.5%
69.941551211
 
0.5%
86.302368161
 
0.5%
69.934143071
 
0.5%
38.461498261
 
0.5%
66.621162411
 
0.5%
97.767890931
 
0.5%
66.417556761
 
0.5%
Other values (113)113
52.1%
(Missing)94
43.3%
ValueCountFrequency (%)
8.6764297491
0.5%
16.079179761
0.5%
16.439270021
0.5%
16.599229811
0.5%
19.493040081
0.5%
ValueCountFrequency (%)
119.10669711
0.5%
116.36737821
0.5%
113.83380891
0.5%
112.83950811
0.5%
108.74199681
0.5%

SE.SEC.CUAT.LO.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct70
Distinct (%)100.0%
Missing147
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean67.12301393
Minimum5.232989788
Maximum99.77433014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:42.759073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.232989788
5-th percentile25.88830938
Q150.72941303
median69.28412628
Q387.4465332
95-th percentile98.07574539
Maximum99.77433014
Range94.54134035
Interquartile range (IQR)36.71712017

Descriptive statistics

Standard deviation23.1049967
Coefficient of variation (CV)0.3442187016
Kurtosis-0.5461759867
Mean67.12301393
Median Absolute Deviation (MAD)18.57665062
Skewness-0.4402775209
Sum4698.610975
Variance533.8408725
MonotonicityNot monotonic
2022-01-22T10:54:42.949887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.498199461
 
0.5%
53.219379431
 
0.5%
62.888828281
 
0.5%
20.678739551
 
0.5%
51.114349371
 
0.5%
99.700248721
 
0.5%
87.754402161
 
0.5%
65.076240541
 
0.5%
85.29261781
 
0.5%
63.375770571
 
0.5%
Other values (60)60
27.6%
(Missing)147
67.7%
ValueCountFrequency (%)
5.2329897881
0.5%
20.678739551
0.5%
22.923929211
0.5%
25.498199461
0.5%
26.36511041
0.5%
ValueCountFrequency (%)
99.774330141
0.5%
99.740951541
0.5%
99.700248721
0.5%
98.637359621
0.5%
97.3893281
0.5%

SE.SEC.CUAT.LO.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct70
Distinct (%)100.0%
Missing147
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean71.86394986
Minimum18.93741989
Maximum99.87632751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:43.134087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.93741989
5-th percentile41.48662758
Q153.27055645
median75.59886169
Q391.04759598
95-th percentile98.67179947
Maximum99.87632751
Range80.93890762
Interquartile range (IQR)37.77703953

Descriptive statistics

Standard deviation21.00391042
Coefficient of variation (CV)0.2922732533
Kurtosis-0.9464490694
Mean71.86394986
Median Absolute Deviation (MAD)18.63494492
Skewness-0.3914712225
Sum5030.47649
Variance441.1642529
MonotonicityNot monotonic
2022-01-22T10:54:43.320411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.344299321
 
0.5%
65.228782651
 
0.5%
60.069999691
 
0.5%
44.906269071
 
0.5%
53.024078371
 
0.5%
99.708068851
 
0.5%
91.366912841
 
0.5%
71.311027531
 
0.5%
84.100761411
 
0.5%
73.08541871
 
0.5%
Other values (60)60
27.6%
(Missing)147
67.7%
ValueCountFrequency (%)
18.937419891
0.5%
32.344299321
0.5%
33.682659151
0.5%
41.42639161
0.5%
41.560249331
0.5%
ValueCountFrequency (%)
99.876327511
0.5%
99.874771121
0.5%
99.708068851
0.5%
98.788330081
0.5%
98.529373171
0.5%

SE.SEC.CUAT.LO.ZS
Real number (ℝ≥0)

MISSING

Distinct70
Distinct (%)100.0%
Missing147
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean69.35688805
Minimum11.68274975
Maximum99.82282257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:43.514383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11.68274975
5-th percentile34.66445065
Q152.39635468
median73.03375244
Q388.67219353
95-th percentile98.35763474
Maximum99.82282257
Range88.14007282
Interquartile range (IQR)36.27583885

Descriptive statistics

Standard deviation21.83769131
Coefficient of variation (CV)0.3148597338
Kurtosis-0.7819369837
Mean69.35688805
Median Absolute Deviation (MAD)20.05630493
Skewness-0.3696786283
Sum4854.982163
Variance476.8847618
MonotonicityNot monotonic
2022-01-22T10:54:43.691031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.073749541
 
0.5%
59.177398681
 
0.5%
61.49029161
 
0.5%
33.385101321
 
0.5%
52.318389891
 
0.5%
99.704078671
 
0.5%
89.522796631
 
0.5%
68.215721131
 
0.5%
84.713241581
 
0.5%
68.133941651
 
0.5%
Other values (60)60
27.6%
(Missing)147
67.7%
ValueCountFrequency (%)
11.682749751
0.5%
28.830110551
0.5%
29.073749541
0.5%
33.385101321
0.5%
36.228099821
0.5%
ValueCountFrequency (%)
99.822822571
0.5%
99.807868961
0.5%
99.704078671
0.5%
98.707130431
0.5%
97.930473331
0.5%

SE.SEC.CUAT.PO.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)100.0%
Missing164
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean25.17106883
Minimum1.890840054
Maximum64.73760986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:43.866152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.890840054
5-th percentile7.508594131
Q115.69834042
median24.75402069
Q334.02222061
95-th percentile48.41656113
Maximum64.73760986
Range62.84676981
Interquartile range (IQR)18.3238802

Descriptive statistics

Standard deviation13.31675849
Coefficient of variation (CV)0.5290501797
Kurtosis0.4848348395
Mean25.17106883
Median Absolute Deviation (MAD)9.268199921
Skewness0.7080999458
Sum1334.066648
Variance177.3360566
MonotonicityNot monotonic
2022-01-22T10:54:44.159639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.909570691
 
0.5%
52.748561861
 
0.5%
38.436820981
 
0.5%
35.425109861
 
0.5%
15.785019871
 
0.5%
40.113098141
 
0.5%
15.698340421
 
0.5%
28.958259581
 
0.5%
35.012008671
 
0.5%
19.971609121
 
0.5%
Other values (43)43
 
19.8%
(Missing)164
75.6%
ValueCountFrequency (%)
1.8908400541
0.5%
4.7392802241
0.5%
6.7570099831
0.5%
8.009650231
0.5%
8.0715503691
0.5%
ValueCountFrequency (%)
64.737609861
0.5%
54.338600161
0.5%
52.748561861
0.5%
45.528560641
0.5%
45.139259341
0.5%

SE.SEC.CUAT.PO.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)100.0%
Missing164
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean24.88882594
Minimum8.495710373
Maximum60.94242096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:44.340822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8.495710373
5-th percentile9.925417709
Q116.33325958
median23.04418945
Q331.78343964
95-th percentile45.66219788
Maximum60.94242096
Range52.44671059
Interquartile range (IQR)15.45018005

Descriptive statistics

Standard deviation11.77747947
Coefficient of variation (CV)0.4732034969
Kurtosis0.5335819822
Mean24.88882594
Median Absolute Deviation (MAD)7.99448967
Skewness0.8636092136
Sum1319.107775
Variance138.7090226
MonotonicityNot monotonic
2022-01-22T10:54:44.550328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.852720261
 
0.5%
43.944648741
 
0.5%
25.684370041
 
0.5%
27.284139631
 
0.5%
23.044189451
 
0.5%
30.676130291
 
0.5%
17.031299591
 
0.5%
35.557548521
 
0.5%
33.36827851
 
0.5%
17.962049481
 
0.5%
Other values (43)43
 
19.8%
(Missing)164
75.6%
ValueCountFrequency (%)
8.4957103731
0.5%
8.9900398251
0.5%
9.0011596681
0.5%
10.541589741
0.5%
11.152199751
0.5%
ValueCountFrequency (%)
60.942420961
0.5%
50.826469421
0.5%
47.297691351
0.5%
44.57186891
0.5%
43.944648741
0.5%

SE.SEC.CUAT.PO.ZS
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)100.0%
Missing164
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean24.91970177
Minimum4.999310017
Maximum63.05937958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:44.744014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.999310017
5-th percentile8.704565811
Q115.72136021
median22.99258995
Q332.18877029
95-th percentile47.41879883
Maximum63.05937958
Range58.06006956
Interquartile range (IQR)16.46741009

Descriptive statistics

Standard deviation12.23783693
Coefficient of variation (CV)0.491090826
Kurtosis0.6956008214
Mean24.91970177
Median Absolute Deviation (MAD)8.680690765
Skewness0.8157097402
Sum1320.744194
Variance149.7646527
MonotonicityNot monotonic
2022-01-22T10:54:44.931990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.873590471
 
0.5%
48.833629611
 
0.5%
32.542869571
 
0.5%
31.673280721
 
0.5%
19.342350011
 
0.5%
35.525661471
 
0.5%
16.369539261
 
0.5%
32.188770291
 
0.5%
34.206180571
 
0.5%
18.70462991
 
0.5%
Other values (43)43
 
19.8%
(Missing)164
75.6%
ValueCountFrequency (%)
4.9993100171
0.5%
6.9744601251
0.5%
7.9232702261
0.5%
9.2254295351
0.5%
11.340990071
0.5%
ValueCountFrequency (%)
63.059379581
0.5%
51.005971
0.5%
48.833629611
0.5%
46.475578311
0.5%
44.254829411
0.5%

SE.SEC.CUAT.UP.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct73
Distinct (%)100.0%
Missing144
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean53.68652548
Minimum8.023599625
Maximum88.43148041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:45.123789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8.023599625
5-th percentile16.76408768
Q136.02391052
median56.05413818
Q371.74565887
95-th percentile84.93540955
Maximum88.43148041
Range80.40788078
Interquartile range (IQR)35.72174835

Descriptive statistics

Standard deviation22.26389088
Coefficient of variation (CV)0.4147016534
Kurtosis-1.095186677
Mean53.68652548
Median Absolute Deviation (MAD)18.46184921
Skewness-0.2243320493
Sum3919.11636
Variance495.6808371
MonotonicityNot monotonic
2022-01-22T10:54:45.308735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.06398011
 
0.5%
45.819549561
 
0.5%
14.908419611
 
0.5%
42.766681671
 
0.5%
74.09226991
 
0.5%
62.280101781
 
0.5%
49.725051881
 
0.5%
71.141281131
 
0.5%
32.074588781
 
0.5%
47.640960691
 
0.5%
Other values (63)63
29.0%
(Missing)144
66.4%
ValueCountFrequency (%)
8.0235996251
0.5%
11.477009771
0.5%
14.678600311
0.5%
14.908419611
0.5%
18.001199721
0.5%
ValueCountFrequency (%)
88.431480411
0.5%
87.660148621
0.5%
87.504821781
0.5%
85.523727421
0.5%
84.543197631
0.5%

SE.SEC.CUAT.UP.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct73
Distinct (%)100.0%
Missing144
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean56.87927334
Minimum12.83833981
Maximum93.79418945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:45.497944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12.83833981
5-th percentile25.38880577
Q135.26202011
median59.04159927
Q377.40653992
95-th percentile87.46018829
Maximum93.79418945
Range80.95584965
Interquartile range (IQR)42.14451981

Descriptive statistics

Standard deviation22.54014007
Coefficient of variation (CV)0.3962803803
Kurtosis-1.444160654
Mean56.87927334
Median Absolute Deviation (MAD)21.17131805
Skewness-0.07906174762
Sum4152.186954
Variance508.0579143
MonotonicityNot monotonic
2022-01-22T10:54:45.691589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.829780581
 
0.5%
40.144851681
 
0.5%
32.012310031
 
0.5%
40.282390591
 
0.5%
76.788719181
 
0.5%
71.456832891
 
0.5%
52.06320191
 
0.5%
63.800991061
 
0.5%
32.09336091
 
0.5%
58.320159911
 
0.5%
Other values (63)63
29.0%
(Missing)144
66.4%
ValueCountFrequency (%)
12.838339811
0.5%
24.004709241
0.5%
24.247129441
0.5%
25.372810361
0.5%
25.399469381
0.5%
ValueCountFrequency (%)
93.794189451
0.5%
92.053642271
0.5%
88.35169221
0.5%
87.469947811
0.5%
87.453681951
0.5%

SE.SEC.CUAT.UP.ZS
Real number (ℝ≥0)

MISSING

Distinct73
Distinct (%)100.0%
Missing144
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean55.14520004
Minimum10.66672993
Maximum88.645401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:45.878003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.66672993
5-th percentile22.20104408
Q135.50172043
median57.05744934
Q375.52082825
95-th percentile86.44033508
Maximum88.645401
Range77.97867107
Interquartile range (IQR)40.01910782

Descriptive statistics

Standard deviation22.19002952
Coefficient of variation (CV)0.4023927651
Kurtosis-1.344106578
Mean55.14520004
Median Absolute Deviation (MAD)20.2304306
Skewness-0.1336886421
Sum4025.599603
Variance492.3974102
MonotonicityNot monotonic
2022-01-22T10:54:46.100459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.869579321
 
0.5%
43.00410081
 
0.5%
23.878719331
 
0.5%
41.200389861
 
0.5%
75.41419221
 
0.5%
66.772323611
 
0.5%
50.90240861
 
0.5%
67.573059081
 
0.5%
32.083171841
 
0.5%
52.939041141
 
0.5%
Other values (63)63
29.0%
(Missing)144
66.4%
ValueCountFrequency (%)
10.666729931
0.5%
18.172269821
0.5%
20.563970571
0.5%
22.028610231
0.5%
22.315999981
0.5%
ValueCountFrequency (%)
88.6454011
0.5%
87.993659971
0.5%
87.149406431
0.5%
86.462097171
0.5%
86.425827031
0.5%

SE.SEC.DURS
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)2.9%
Missing12
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean6.336585366
Minimum4
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:46.351039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q16
median6
Q37
95-th percentile8
Maximum9
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9176259057
Coefficient of variation (CV)0.144813942
Kurtosis0.0386308501
Mean6.336585366
Median Absolute Deviation (MAD)1
Skewness0.1264129765
Sum1299
Variance0.8420373027
MonotonicityNot monotonic
2022-01-22T10:54:46.479960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
686
39.6%
766
30.4%
531
 
14.3%
817
 
7.8%
43
 
1.4%
92
 
0.9%
(Missing)12
 
5.5%
ValueCountFrequency (%)
43
 
1.4%
531
 
14.3%
686
39.6%
766
30.4%
817
 
7.8%
ValueCountFrequency (%)
92
 
0.9%
817
 
7.8%
766
30.4%
686
39.6%
531
 
14.3%

SE.SEC.ENRL
Real number (ℝ≥0)

MISSING

Distinct149
Distinct (%)100.0%
Missing68
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean3143218.644
Minimum2029
Maximum107686864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:46.624325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2029
5-th percentile6996.4
Q1101501
median549760
Q32044157
95-th percentile8499562.8
Maximum107686864
Range107684835
Interquartile range (IQR)1942656

Descriptive statistics

Standard deviation12201076.69
Coefficient of variation (CV)3.881714278
Kurtosis62.00353733
Mean3143218.644
Median Absolute Deviation (MAD)510054
Skewness7.701056184
Sum468339578
Variance1.488662724 × 1014
MonotonicityNot monotonic
2022-01-22T10:54:46.807496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73421
 
0.5%
4350851
 
0.5%
1270021
 
0.5%
6921571
 
0.5%
26157171
 
0.5%
3066751
 
0.5%
90567681
 
0.5%
4652011
 
0.5%
14749831
 
0.5%
26942561
 
0.5%
Other values (139)139
64.1%
(Missing)68
31.3%
ValueCountFrequency (%)
20291
0.5%
23341
0.5%
29991
0.5%
32741
0.5%
40591
0.5%
ValueCountFrequency (%)
1076868641
0.5%
992180801
0.5%
235387161
0.5%
199759161
0.5%
116815301
0.5%

SE.SEC.ENRL.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct149
Distinct (%)100.0%
Missing68
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean48.47794537
Minimum29.49234
Maximum58.13643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:46.992932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum29.49234
5-th percentile41.932892
Q147.8943
median49.04188
Q350.26957
95-th percentile52.117668
Maximum58.13643
Range28.64409
Interquartile range (IQR)2.37527

Descriptive statistics

Standard deviation3.601671292
Coefficient of variation (CV)0.0742950483
Kurtosis8.449849528
Mean48.47794537
Median Absolute Deviation (MAD)1.22769
Skewness-2.180351467
Sum7223.21386
Variance12.9720361
MonotonicityNot monotonic
2022-01-22T10:54:47.156576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.231541
 
0.5%
48.777991
 
0.5%
47.281041
 
0.5%
50.530351
 
0.5%
40.34761
 
0.5%
45.839921
 
0.5%
51.705181
 
0.5%
48.456761
 
0.5%
48.144851
 
0.5%
49.852111
 
0.5%
Other values (139)139
64.1%
(Missing)68
31.3%
ValueCountFrequency (%)
29.492341
0.5%
32.008651
0.5%
36.400541
0.5%
37.459751
0.5%
40.171841
0.5%
ValueCountFrequency (%)
58.136431
0.5%
55.113231
0.5%
54.325691
0.5%
54.200111
0.5%
53.417841
0.5%

SE.SEC.ENRL.GC
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)100.0%
Missing63
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean1938381.091
Minimum1817
Maximum78798728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:47.340749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1817
5-th percentile6447.65
Q190532.75
median442424
Q31478143
95-th percentile6264022.55
Maximum78798728
Range78796911
Interquartile range (IQR)1387610.25

Descriptive statistics

Standard deviation6854582.815
Coefficient of variation (CV)3.536241066
Kurtosis105.1124862
Mean1938381.091
Median Absolute Deviation (MAD)396002.5
Skewness9.607550967
Sum298510688
Variance4.698530556 × 1013
MonotonicityNot monotonic
2022-01-22T10:54:47.515960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62001
 
0.5%
7768671
 
0.5%
1084991
 
0.5%
1150031
 
0.5%
6921571
 
0.5%
24534741
 
0.5%
1739081
 
0.5%
3007931
 
0.5%
4583211
 
0.5%
3040901
 
0.5%
Other values (144)144
66.4%
(Missing)63
29.0%
ValueCountFrequency (%)
18171
0.5%
19411
0.5%
20671
0.5%
24581
0.5%
36921
0.5%
ValueCountFrequency (%)
787987281
0.5%
222150541
0.5%
166568481
0.5%
109615311
0.5%
98110821
0.5%

SE.SEC.ENRL.GC.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)100.0%
Missing63
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean49.09784708
Minimum29.38008
Maximum60.59695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:47.701230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum29.38008
5-th percentile40.3194125
Q148.380155
median50.160975
Q351.1621975
95-th percentile53.1576745
Maximum60.59695
Range31.21687
Interquartile range (IQR)2.7820425

Descriptive statistics

Standard deviation4.16017899
Coefficient of variation (CV)0.08473241166
Kurtosis5.832296885
Mean49.09784708
Median Absolute Deviation (MAD)1.24385
Skewness-1.912570009
Sum7561.06845
Variance17.30708923
MonotonicityNot monotonic
2022-01-22T10:54:47.881484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.693551
 
0.5%
50.537741
 
0.5%
45.397651
 
0.5%
52.301241
 
0.5%
47.281041
 
0.5%
51.022221
 
0.5%
53.469651
 
0.5%
40.030521
 
0.5%
51.585461
 
0.5%
51.097371
 
0.5%
Other values (144)144
66.4%
(Missing)63
29.0%
ValueCountFrequency (%)
29.380081
0.5%
32.153981
0.5%
34.938221
0.5%
36.984541
0.5%
37.184971
0.5%
ValueCountFrequency (%)
60.596951
0.5%
57.708811
0.5%
54.367781
0.5%
54.207541
0.5%
53.772131
0.5%

SE.SEC.ENRL.LO.TC.ZS
Real number (ℝ≥0)

MISSING

Distinct87
Distinct (%)100.0%
Missing130
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean18.29754575
Minimum5.21144
Maximum52.98369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:48.053907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.21144
5-th percentile7.902752
Q110.328285
median14.90671
Q323.22907
95-th percentile40.812112
Maximum52.98369
Range47.77225
Interquartile range (IQR)12.900785

Descriptive statistics

Standard deviation10.66425805
Coefficient of variation (CV)0.5828245053
Kurtosis0.8635197527
Mean18.29754575
Median Absolute Deviation (MAD)5.09242
Skewness1.241169675
Sum1591.88648
Variance113.7263997
MonotonicityNot monotonic
2022-01-22T10:54:48.231391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.620421
 
0.5%
11.892051
 
0.5%
16.870221
 
0.5%
14.848541
 
0.5%
39.852511
 
0.5%
29.334341
 
0.5%
31.130831
 
0.5%
34.562161
 
0.5%
36.374581
 
0.5%
7.957171
 
0.5%
Other values (77)77
35.5%
(Missing)130
59.9%
ValueCountFrequency (%)
5.211441
0.5%
5.586751
0.5%
6.805761
0.5%
7.16811
0.5%
7.879431
0.5%
ValueCountFrequency (%)
52.983691
0.5%
45.501881
0.5%
43.620421
0.5%
42.74311
0.5%
41.223371
0.5%

SE.SEC.ENRL.TC.ZS
Real number (ℝ≥0)

MISSING

Distinct94
Distinct (%)100.0%
Missing123
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean17.05157021
Minimum5.35515
Maximum43.23009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:48.518537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.35515
5-th percentile8.7426585
Q111.320345
median14.498815
Q321.1077275
95-th percentile33.0357135
Maximum43.23009
Range37.87494
Interquartile range (IQR)9.7873825

Descriptive statistics

Standard deviation8.205009446
Coefficient of variation (CV)0.4811879107
Kurtosis1.276099459
Mean17.05157021
Median Absolute Deviation (MAD)3.846725
Skewness1.311521164
Sum1602.8476
Variance67.32218
MonotonicityNot monotonic
2022-01-22T10:54:48.717208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.483951
 
0.5%
15.990441
 
0.5%
15.339011
 
0.5%
14.500741
 
0.5%
31.972471
 
0.5%
13.729331
 
0.5%
30.830471
 
0.5%
23.197081
 
0.5%
30.83711
 
0.5%
13.724961
 
0.5%
Other values (84)84
38.7%
(Missing)123
56.7%
ValueCountFrequency (%)
5.355151
0.5%
7.347291
0.5%
8.149581
0.5%
8.495311
0.5%
8.708151
0.5%
ValueCountFrequency (%)
43.230091
0.5%
43.074951
0.5%
38.684241
0.5%
34.124021
0.5%
34.078191
0.5%

SE.SEC.ENRL.UP.TC.ZS
Real number (ℝ≥0)

MISSING

Distinct77
Distinct (%)100.0%
Missing140
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean14.80894831
Minimum5.49173
Maximum35.26528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:48.920687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.49173
5-th percentile7.048482
Q110.13101
median13.194
Q317.63306
95-th percentile27.419582
Maximum35.26528
Range29.77355
Interquartile range (IQR)7.50205

Descriptive statistics

Standard deviation6.468573799
Coefficient of variation (CV)0.4368017001
Kurtosis1.547347573
Mean14.80894831
Median Absolute Deviation (MAD)3.61858
Skewness1.220185822
Sum1140.28902
Variance41.842447
MonotonicityNot monotonic
2022-01-22T10:54:49.114355image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.71171
 
0.5%
13.1941
 
0.5%
14.186091
 
0.5%
24.763891
 
0.5%
34.714491
 
0.5%
17.633061
 
0.5%
17.776621
 
0.5%
28.300391
 
0.5%
15.765731
 
0.5%
7.702671
 
0.5%
Other values (67)67
30.9%
(Missing)140
64.5%
ValueCountFrequency (%)
5.491731
0.5%
6.834651
0.5%
6.877721
0.5%
7.043011
0.5%
7.049851
0.5%
ValueCountFrequency (%)
35.265281
0.5%
34.714491
0.5%
32.571521
0.5%
28.300391
0.5%
27.199381
0.5%

SE.SEC.ENRL.VO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct123
Distinct (%)98.4%
Missing92
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean400060.52
Minimum0
Maximum20419354
Zeros3
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:49.305447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile243.8
Q15882
median56762
Q3234966
95-th percentile1293557
Maximum20419354
Range20419354
Interquartile range (IQR)229084

Descriptive statistics

Standard deviation1862244.81
Coefficient of variation (CV)4.654907738
Kurtosis110.0298726
Mean400060.52
Median Absolute Deviation (MAD)56245
Skewness10.22116603
Sum50007565
Variance3.467955733 × 1012
MonotonicityNot monotonic
2022-01-22T10:54:49.523443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
1.4%
18704481
 
0.5%
3819151
 
0.5%
793021
 
0.5%
1309951
 
0.5%
6981161
 
0.5%
68801
 
0.5%
58821
 
0.5%
1622431
 
0.5%
351621
 
0.5%
Other values (113)113
52.1%
(Missing)92
42.4%
ValueCountFrequency (%)
03
1.4%
881
 
0.5%
1281
 
0.5%
1851
 
0.5%
2131
 
0.5%
ValueCountFrequency (%)
204193541
0.5%
33190681
0.5%
18704481
0.5%
17087791
0.5%
16400561
0.5%

SE.SEC.ENRL.VO.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct121
Distinct (%)100.0%
Missing96
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean41.54912215
Minimum4.90233
Maximum79.0938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:49.735386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.90233
5-th percentile18.75
Q137.36317
median43.09215
Q347.45294
95-th percentile56.20958
Maximum79.0938
Range74.19147
Interquartile range (IQR)10.08977

Descriptive statistics

Standard deviation10.74621649
Coefficient of variation (CV)0.2586388337
Kurtosis2.788383573
Mean41.54912215
Median Absolute Deviation (MAD)5.08861
Skewness-0.782352823
Sum5027.44378
Variance115.4811689
MonotonicityNot monotonic
2022-01-22T10:54:49.940205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.006991
 
0.5%
48.720291
 
0.5%
41.355541
 
0.5%
49.157651
 
0.5%
41.290891
 
0.5%
46.141041
 
0.5%
59.680231
 
0.5%
56.562391
 
0.5%
43.092151
 
0.5%
33.624371
 
0.5%
Other values (111)111
51.2%
(Missing)96
44.2%
ValueCountFrequency (%)
4.902331
0.5%
8.212291
0.5%
11.426021
0.5%
12.603991
0.5%
15.425821
0.5%
ValueCountFrequency (%)
79.09381
0.5%
61.796751
0.5%
59.680231
0.5%
57.837841
0.5%
57.277491
0.5%

SE.SEC.ENRR
Real number (ℝ≥0)

MISSING

Distinct141
Distinct (%)100.0%
Missing76
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean82.09413457
Minimum13.04246998
Maximum156.8615265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:50.148405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum13.04246998
5-th percentile31.61763954
Q165.83473969
median89.8712616
Q3100.354599
95-th percentile112.7958298
Maximum156.8615265
Range143.8190565
Interquartile range (IQR)34.51985931

Descriptive statistics

Standard deviation26.4283006
Coefficient of variation (CV)0.3219267824
Kurtosis0.07438863217
Mean82.09413457
Median Absolute Deviation (MAD)13.77606964
Skewness-0.6872787405
Sum11575.27297
Variance698.4550725
MonotonicityNot monotonic
2022-01-22T10:54:50.314033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.823539731
 
0.5%
57.631320951
 
0.5%
77.267028811
 
0.5%
13.042469981
 
0.5%
44.21823121
 
0.5%
73.432418821
 
0.5%
122.07910921
 
0.5%
112.60662841
 
0.5%
119.06472021
 
0.5%
89.24696351
 
0.5%
Other values (131)131
60.4%
(Missing)76
35.0%
ValueCountFrequency (%)
13.042469981
0.5%
20.751770021
0.5%
21.902690891
0.5%
22.588569641
0.5%
23.290630341
0.5%
ValueCountFrequency (%)
156.86152651
0.5%
122.07910921
0.5%
119.49684911
0.5%
119.11595151
0.5%
119.06472021
0.5%

SE.SEC.ENRR.FE
Real number (ℝ≥0)

MISSING

Distinct141
Distinct (%)100.0%
Missing76
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean82.18276386
Minimum10.69458008
Maximum167.304657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:50.505279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.69458008
5-th percentile28.4953804
Q167.94087982
median91.89286041
Q3101.1566925
95-th percentile115.6710434
Maximum167.304657
Range156.6100769
Interquartile range (IQR)33.21581268

Descriptive statistics

Standard deviation28.23347687
Coefficient of variation (CV)0.3435449909
Kurtosis0.2776433386
Mean82.18276386
Median Absolute Deviation (MAD)12.22753906
Skewness-0.7323795526
Sum11587.7697
Variance797.1292159
MonotonicityNot monotonic
2022-01-22T10:54:50.798140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.294242861
 
0.5%
56.928050991
 
0.5%
80.199203491
 
0.5%
10.694580081
 
0.5%
41.190990451
 
0.5%
77.957939151
 
0.5%
121.21755221
 
0.5%
111.67082211
 
0.5%
121.82135771
 
0.5%
91.292350771
 
0.5%
Other values (131)131
60.4%
(Missing)76
35.0%
ValueCountFrequency (%)
10.694580081
0.5%
13.393969541
0.5%
18.925199511
0.5%
19.074850081
0.5%
19.454069141
0.5%
ValueCountFrequency (%)
167.3046571
0.5%
121.82135771
0.5%
121.65747071
0.5%
121.21755221
0.5%
120.73542021
0.5%

SE.SEC.ENRR.MA
Real number (ℝ≥0)

MISSING

Distinct141
Distinct (%)100.0%
Missing76
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean82.02038325
Minimum15.31690979
Maximum146.8611755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:50.983973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum15.31690979
5-th percentile31.68732071
Q166.89290619
median88.41072083
Q399.034729
95-th percentile114.7542038
Maximum146.8611755
Range131.5442657
Interquartile range (IQR)32.14182281

Descriptive statistics

Standard deviation25.10376327
Coefficient of variation (CV)0.3060673735
Kurtosis-0.1200086079
Mean82.02038325
Median Absolute Deviation (MAD)15.90264893
Skewness-0.6303266296
Sum11564.87404
Variance630.1989305
MonotonicityNot monotonic
2022-01-22T10:54:51.179420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.452690121
 
0.5%
58.317371371
 
0.5%
74.485366821
 
0.5%
15.316909791
 
0.5%
47.151161191
 
0.5%
69.135643011
 
0.5%
122.9003221
 
0.5%
113.48963931
 
0.5%
116.4452821
 
0.5%
87.248352051
 
0.5%
Other values (131)131
60.4%
(Missing)76
35.0%
ValueCountFrequency (%)
15.316909791
0.5%
22.377099991
0.5%
24.78438951
0.5%
27.146690371
0.5%
27.993400571
0.5%
ValueCountFrequency (%)
146.86117551
0.5%
122.9003221
0.5%
118.97824861
0.5%
117.63539891
0.5%
117.59246061
0.5%

SE.SEC.NENR
Real number (ℝ≥0)

MISSING

Distinct100
Distinct (%)100.0%
Missing117
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean73.2079352
Minimum10.86772
Maximum98.33685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:51.373784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.86772
5-th percentile28.491615
Q163.04339
median82.520385
Q390.1392275
95-th percentile96.172348
Maximum98.33685
Range87.46913
Interquartile range (IQR)27.0958375

Descriptive statistics

Standard deviation22.71250365
Coefficient of variation (CV)0.3102464724
Kurtosis0.4721141632
Mean73.2079352
Median Absolute Deviation (MAD)10.13553
Skewness-1.17762389
Sum7320.79352
Variance515.857822
MonotonicityNot monotonic
2022-01-22T10:54:51.564835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.809711
 
0.5%
77.707251
 
0.5%
66.118511
 
0.5%
95.299921
 
0.5%
87.87861
 
0.5%
48.42111
 
0.5%
10.867721
 
0.5%
74.338451
 
0.5%
29.123651
 
0.5%
15.970461
 
0.5%
Other values (90)90
41.5%
(Missing)117
53.9%
ValueCountFrequency (%)
10.867721
0.5%
11.290641
0.5%
15.175891
0.5%
15.970461
0.5%
16.482951
0.5%
ValueCountFrequency (%)
98.336851
0.5%
96.981281
0.5%
96.663451
0.5%
96.349921
0.5%
96.251541
0.5%

SE.SEC.NENR.FE
Real number (ℝ≥0)

MISSING

Distinct98
Distinct (%)100.0%
Missing119
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean73.58329367
Minimum9.11368
Maximum98.01097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:51.747817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.11368
5-th percentile23.272707
Q164.2519125
median82.770125
Q390.421125
95-th percentile95.7217145
Maximum98.01097
Range88.89729
Interquartile range (IQR)26.1692125

Descriptive statistics

Standard deviation23.24004782
Coefficient of variation (CV)0.3158332097
Kurtosis0.6696852325
Mean73.58329367
Median Absolute Deviation (MAD)9.82185
Skewness-1.264325169
Sum7211.16278
Variance540.0998227
MonotonicityNot monotonic
2022-01-22T10:54:51.923111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.581771
 
0.5%
79.512141
 
0.5%
68.581651
 
0.5%
95.431261
 
0.5%
88.500491
 
0.5%
52.404211
 
0.5%
9.113681
 
0.5%
76.903151
 
0.5%
28.378831
 
0.5%
14.973631
 
0.5%
Other values (88)88
40.6%
(Missing)119
54.8%
ValueCountFrequency (%)
9.113681
0.5%
10.075691
0.5%
13.688951
0.5%
14.389731
0.5%
14.973631
0.5%
ValueCountFrequency (%)
98.010971
0.5%
97.979591
0.5%
97.337851
0.5%
96.799781
0.5%
96.657251
0.5%

SE.SEC.NENR.MA
Real number (ℝ≥0)

MISSING

Distinct98
Distinct (%)100.0%
Missing119
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean72.50651449
Minimum12.52422
Maximum97.54541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:52.099026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12.52422
5-th percentile26.1732985
Q160.6693925
median82.213265
Q389.087955
95-th percentile95.636012
Maximum97.54541
Range85.02119
Interquartile range (IQR)28.4185625

Descriptive statistics

Standard deviation22.60909145
Coefficient of variation (CV)0.3118215186
Kurtosis0.2566441004
Mean72.50651449
Median Absolute Deviation (MAD)10.393165
Skewness-1.103237499
Sum7105.63842
Variance511.1710164
MonotonicityNot monotonic
2022-01-22T10:54:52.263358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.416961
 
0.5%
76.02621
 
0.5%
63.738581
 
0.5%
95.175981
 
0.5%
87.285841
 
0.5%
44.63931
 
0.5%
12.56691
 
0.5%
71.905411
 
0.5%
29.8791
 
0.5%
16.985011
 
0.5%
Other values (88)88
40.6%
(Missing)119
54.8%
ValueCountFrequency (%)
12.524221
0.5%
12.56691
0.5%
16.670381
0.5%
16.985011
0.5%
18.508841
0.5%
ValueCountFrequency (%)
97.545411
0.5%
96.641581
0.5%
96.433291
0.5%
96.060021
0.5%
96.03491
0.5%

SE.SEC.PRIV.ZS
Real number (ℝ≥0)

MISSING

Distinct127
Distinct (%)100.0%
Missing90
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean18.76534107
Minimum0
Maximum95.3560791
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:52.446648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7366539896
Q14.823680162
median13.63632011
Q324.74275494
95-th percentile61.45964127
Maximum95.3560791
Range95.3560791
Interquartile range (IQR)19.91907477

Descriptive statistics

Standard deviation19.44696264
Coefficient of variation (CV)1.036323431
Kurtosis4.277680329
Mean18.76534107
Median Absolute Deviation (MAD)9.551850319
Skewness1.93299852
Sum2383.198316
Variance378.1843558
MonotonicityNot monotonic
2022-01-22T10:54:52.629869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.773361211
 
0.5%
16.392929081
 
0.5%
31.316650391
 
0.5%
19.485349661
 
0.5%
7.8984599111
 
0.5%
21.833570481
 
0.5%
21.531589511
 
0.5%
4.4871101381
 
0.5%
57.231380461
 
0.5%
27.179100041
 
0.5%
Other values (117)117
53.9%
(Missing)90
41.5%
ValueCountFrequency (%)
01
0.5%
0.077140003441
0.5%
0.19247999791
0.5%
0.36926999691
0.5%
0.46900001171
0.5%
ValueCountFrequency (%)
95.35607911
0.5%
95.114578251
0.5%
91.773361211
0.5%
64.221427921
0.5%
63.206218721
0.5%

SE.SEC.PROG.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct86
Distinct (%)83.5%
Missing114
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean93.81557767
Minimum54.2194
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:52.933202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum54.2194
5-th percentile70.54049
Q193.028155
median97.99378
Q399.74478
95-th percentile100
Maximum100
Range45.7806
Interquartile range (IQR)6.716625

Descriptive statistics

Standard deviation9.648147091
Coefficient of variation (CV)0.1028416317
Kurtosis5.012323292
Mean93.81557767
Median Absolute Deviation (MAD)2.00622
Skewness-2.278542811
Sum9663.0045
Variance93.08674229
MonotonicityNot monotonic
2022-01-22T10:54:53.131841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10018
 
8.3%
88.724821
 
0.5%
93.38761
 
0.5%
98.320231
 
0.5%
92.987951
 
0.5%
97.738431
 
0.5%
74.77671
 
0.5%
70.06981
 
0.5%
94.065251
 
0.5%
88.19211
 
0.5%
Other values (76)76
35.0%
(Missing)114
52.5%
ValueCountFrequency (%)
54.21941
0.5%
60.620181
0.5%
61.924711
0.5%
64.378911
0.5%
66.653971
0.5%
ValueCountFrequency (%)
10018
8.3%
99.937031
 
0.5%
99.926051
 
0.5%
99.890991
 
0.5%
99.885251
 
0.5%

SE.SEC.PROG.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct84
Distinct (%)81.6%
Missing114
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean93.99560806
Minimum57.29868
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:53.305379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum57.29868
5-th percentile73.894102
Q193.371935
median98.06436
Q399.807535
95-th percentile100
Maximum100
Range42.70132
Interquartile range (IQR)6.4356

Descriptive statistics

Standard deviation9.528941359
Coefficient of variation (CV)0.1013764532
Kurtosis5.36324267
Mean93.99560806
Median Absolute Deviation (MAD)1.93564
Skewness-2.360746545
Sum9681.54763
Variance90.80072342
MonotonicityNot monotonic
2022-01-22T10:54:53.477577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10020
 
9.2%
99.94991
 
0.5%
92.58321
 
0.5%
95.729751
 
0.5%
74.901491
 
0.5%
99.610541
 
0.5%
73.782171
 
0.5%
95.432361
 
0.5%
89.922711
 
0.5%
83.019641
 
0.5%
Other values (74)74
34.1%
(Missing)114
52.5%
ValueCountFrequency (%)
57.298681
0.5%
57.807591
0.5%
60.584771
0.5%
64.011891
0.5%
67.484371
0.5%
ValueCountFrequency (%)
10020
9.2%
99.968161
 
0.5%
99.963961
 
0.5%
99.94991
 
0.5%
99.920161
 
0.5%

SE.SEC.PROG.ZS
Real number (ℝ≥0)

MISSING

Distinct108
Distinct (%)100.0%
Missing109
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean93.3886088
Minimum52.48167
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:53.647596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum52.48167
5-th percentile70.4124035
Q192.962725
median97.494745
Q399.4157425
95-th percentile99.957917
Maximum100
Range47.51833
Interquartile range (IQR)6.4530175

Descriptive statistics

Standard deviation10.15899417
Coefficient of variation (CV)0.1087819415
Kurtosis4.779456297
Mean93.3886088
Median Absolute Deviation (MAD)2.300915
Skewness-2.271733942
Sum10085.96975
Variance103.2051626
MonotonicityNot monotonic
2022-01-22T10:54:53.812849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.405721
 
0.5%
97.245311
 
0.5%
92.98021
 
0.5%
99.182591
 
0.5%
94.376391
 
0.5%
98.89141
 
0.5%
74.847591
 
0.5%
99.799661
 
0.5%
72.247631
 
0.5%
94.764811
 
0.5%
Other values (98)98
45.2%
(Missing)109
50.2%
ValueCountFrequency (%)
52.481671
0.5%
59.405721
0.5%
60.580991
0.5%
60.805331
0.5%
62.339761
0.5%
ValueCountFrequency (%)
1001
0.5%
99.983331
0.5%
99.981331
0.5%
99.974131
0.5%
99.969021
0.5%

SE.SEC.TCAQ.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct38
Distinct (%)90.5%
Missing175
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean72.08902949
Minimum11.20689964
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:53.987221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11.20689964
5-th percentile26.86834116
Q160.59196663
median76.04537582
Q394.0548172
95-th percentile100
Maximum100
Range88.79310036
Interquartile range (IQR)33.46285057

Descriptive statistics

Standard deviation24.54403788
Coefficient of variation (CV)0.3404684188
Kurtosis-0.1705667646
Mean72.08902949
Median Absolute Deviation (MAD)17.25543404
Skewness-0.7630841874
Sum3027.739239
Variance602.4097956
MonotonicityNot monotonic
2022-01-22T10:54:54.146019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1005
 
2.3%
58.898708341
 
0.5%
98.804336551
 
0.5%
98.369140621
 
0.5%
79.711381
 
0.5%
75.144378661
 
0.5%
93.409576421
 
0.5%
16.648349761
 
0.5%
45.962398531
 
0.5%
96.190483091
 
0.5%
Other values (28)28
 
12.9%
(Missing)175
80.6%
ValueCountFrequency (%)
11.206899641
0.5%
16.648349761
0.5%
26.623380661
0.5%
31.522590641
0.5%
39.488639831
0.5%
ValueCountFrequency (%)
1005
2.3%
98.804336551
 
0.5%
98.369140621
 
0.5%
97.433708191
 
0.5%
96.190483091
 
0.5%

SE.SEC.TCAQ.LO.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)85.2%
Missing190
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean75.72346147
Minimum14.80502033
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:54.311603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14.80502033
5-th percentile35.08559456
Q162.75847054
median80.3620224
Q397.91273499
95-th percentile100
Maximum100
Range85.19497967
Interquartile range (IQR)35.15426445

Descriptive statistics

Standard deviation23.95013676
Coefficient of variation (CV)0.3162842307
Kurtosis0.07761386475
Mean75.72346147
Median Absolute Deviation (MAD)17.98703766
Skewness-0.8952357682
Sum2044.53346
Variance573.6090507
MonotonicityNot monotonic
2022-01-22T10:54:54.445867image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1005
 
2.3%
70.512817381
 
0.5%
86.644897461
 
0.5%
61.813240051
 
0.5%
85.661331181
 
0.5%
14.805020331
 
0.5%
98.349060061
 
0.5%
96.897369381
 
0.5%
78.413520811
 
0.5%
99.682502751
 
0.5%
Other values (13)13
 
6.0%
(Missing)190
87.6%
ValueCountFrequency (%)
14.805020331
0.5%
33.00970841
0.5%
39.929328921
0.5%
43.066520691
0.5%
48.174621581
0.5%
ValueCountFrequency (%)
1005
2.3%
99.682502751
 
0.5%
98.349060061
 
0.5%
97.476409911
 
0.5%
96.897369381
 
0.5%

SE.SEC.TCAQ.LO.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)85.2%
Missing190
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean71.17301104
Minimum13.41364956
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:54.579174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum13.41364956
5-th percentile32.46325378
Q155.37709045
median70.87911987
Q398.24372482
95-th percentile100
Maximum100
Range86.58635044
Interquartile range (IQR)42.86663437

Descriptive statistics

Standard deviation26.15992668
Coefficient of variation (CV)0.3675540251
Kurtosis-0.8616737432
Mean71.17301104
Median Absolute Deviation (MAD)24.26806641
Skewness-0.4705719385
Sum1921.671298
Variance684.3417641
MonotonicityNot monotonic
2022-01-22T10:54:54.729143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1005
 
2.3%
70.879119871
 
0.5%
86.390533451
 
0.5%
55.664390561
 
0.5%
84.33477021
 
0.5%
13.413649561
 
0.5%
98.347412111
 
0.5%
98.140037541
 
0.5%
54.910709381
 
0.5%
99.052917481
 
0.5%
Other values (13)13
 
6.0%
(Missing)190
87.6%
ValueCountFrequency (%)
13.413649561
0.5%
32.422588351
0.5%
32.55813981
0.5%
35.294120791
0.5%
38.461540221
0.5%
ValueCountFrequency (%)
1005
2.3%
99.052917481
 
0.5%
98.347412111
 
0.5%
98.140037541
 
0.5%
95.147186281
 
0.5%

SE.SEC.TCAQ.LO.ZS
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)87.5%
Missing185
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean76.08007368
Minimum13.68570995
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:54.995651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum13.68570995
5-th percentile36.17089958
Q160.05035114
median85.01325989
Q398.52771759
95-th percentile100
Maximum100
Range86.31429005
Interquartile range (IQR)38.47736645

Descriptive statistics

Standard deviation23.87260475
Coefficient of variation (CV)0.3137826186
Kurtosis-0.09454952419
Mean76.08007368
Median Absolute Deviation (MAD)14.98674011
Skewness-0.8353240882
Sum2434.562358
Variance569.9012574
MonotonicityNot monotonic
2022-01-22T10:54:55.144734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1005
 
2.3%
49.15253831
 
0.5%
64.302597051
 
0.5%
79.054046631
 
0.5%
70.76923371
 
0.5%
86.549331671
 
0.5%
57.182239531
 
0.5%
85.006309511
 
0.5%
13.685709951
 
0.5%
98.348831181
 
0.5%
Other values (18)18
 
8.3%
(Missing)185
85.3%
ValueCountFrequency (%)
13.685709951
0.5%
33.676979061
0.5%
38.211381
0.5%
38.997211461
0.5%
49.15253831
0.5%
ValueCountFrequency (%)
1005
2.3%
99.758552551
 
0.5%
99.347137451
 
0.5%
99.064376831
 
0.5%
98.348831181
 
0.5%

SE.SEC.TCAQ.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct38
Distinct (%)90.5%
Missing175
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean69.94996302
Minimum16.56615067
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:55.295595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum16.56615067
5-th percentile31.17370291
Q150.00799084
median68.89802551
Q394.75331879
95-th percentile100
Maximum100
Range83.43384933
Interquartile range (IQR)44.74532795

Descriptive statistics

Standard deviation24.65195056
Coefficient of variation (CV)0.3524226389
Kurtosis-0.9867014113
Mean69.94996302
Median Absolute Deviation (MAD)21.95955086
Skewness-0.3952120854
Sum2937.898447
Variance607.7186665
MonotonicityNot monotonic
2022-01-22T10:54:55.447132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1005
 
2.3%
44.677680971
 
0.5%
98.899162291
 
0.5%
95.530838011
 
0.5%
74.331520081
 
0.5%
54.031841281
 
0.5%
95.917778021
 
0.5%
16.566150671
 
0.5%
45.905101781
 
0.5%
96.313362121
 
0.5%
Other values (28)28
 
12.9%
(Missing)175
80.6%
ValueCountFrequency (%)
16.566150671
0.5%
22.692310331
0.5%
31.096769331
0.5%
32.635440831
0.5%
37.106918331
0.5%
ValueCountFrequency (%)
1005
2.3%
98.899162291
 
0.5%
96.313362121
 
0.5%
95.917778021
 
0.5%
95.530838011
 
0.5%

SE.SEC.TCAQ.UP.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)79.2%
Missing193
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean75.14112969
Minimum15.28934002
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:55.588024image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum15.28934002
5-th percentile27.82033358
Q154.93427086
median84.52046204
Q398.00962639
95-th percentile100
Maximum100
Range84.71065998
Interquartile range (IQR)43.07535553

Descriptive statistics

Standard deviation25.96935236
Coefficient of variation (CV)0.3456076914
Kurtosis-0.3321283193
Mean75.14112969
Median Absolute Deviation (MAD)15.47953796
Skewness-0.8744723467
Sum1803.387113
Variance674.4072622
MonotonicityNot monotonic
2022-01-22T10:54:55.712187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1006
 
2.8%
79.449836731
 
0.5%
81.972343441
 
0.5%
72.131149291
 
0.5%
93.460357671
 
0.5%
75.644432071
 
0.5%
15.289340021
 
0.5%
25.732900621
 
0.5%
91.603050231
 
0.5%
48.076919561
 
0.5%
Other values (9)9
 
4.1%
(Missing)193
88.9%
ValueCountFrequency (%)
15.289340021
0.5%
25.732900621
0.5%
39.649120331
0.5%
47.906978611
0.5%
48.076919561
0.5%
ValueCountFrequency (%)
1006
2.8%
97.346168521
 
0.5%
93.819511411
 
0.5%
93.460357671
 
0.5%
91.603050231
 
0.5%

SE.SEC.TCAQ.UP.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)79.2%
Missing193
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean73.97008634
Minimum21.2842598
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:55.847470image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum21.2842598
5-th percentile27.04194479
Q157.27272797
median83.94487381
Q397.00545883
95-th percentile100
Maximum100
Range78.7157402
Interquartile range (IQR)39.73273087

Descriptive statistics

Standard deviation26.92251218
Coefficient of variation (CV)0.3639648609
Kurtosis-0.805069471
Mean73.97008634
Median Absolute Deviation (MAD)16.05512619
Skewness-0.7807937185
Sum1775.282072
Variance724.8216623
MonotonicityNot monotonic
2022-01-22T10:54:56.012058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1006
 
2.8%
64.615379331
 
0.5%
86.46428681
 
0.5%
70.353981021
 
0.5%
87.670036321
 
0.5%
71.848289491
 
0.5%
21.28425981
 
0.5%
26.894739151
 
0.5%
95.925926211
 
0.5%
36.363639831
 
0.5%
Other values (9)9
 
4.1%
(Missing)193
88.9%
ValueCountFrequency (%)
21.28425981
0.5%
26.894739151
0.5%
27.876110081
0.5%
36.363639831
0.5%
39.189189911
0.5%
ValueCountFrequency (%)
1006
2.8%
96.007278441
 
0.5%
95.925926211
 
0.5%
92.620712281
 
0.5%
88.106422421
 
0.5%

SE.SEC.TCAQ.UP.ZS
Real number (ℝ≥0)

MISSING

Distinct24
Distinct (%)82.8%
Missing188
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean74.55514447
Minimum18.52967072
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:56.170046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.52967072
5-th percentile29.81677933
Q148.30768967
median84.21502686
Q396.64225006
95-th percentile100
Maximum100
Range81.47032928
Interquartile range (IQR)48.33456039

Descriptive statistics

Standard deviation25.95095735
Coefficient of variation (CV)0.3480773532
Kurtosis-0.8130835462
Mean74.55514447
Median Absolute Deviation (MAD)15.78497314
Skewness-0.752922335
Sum2162.09919
Variance673.4521875
MonotonicityNot monotonic
2022-01-22T10:54:56.330564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1006
 
2.8%
99.354698181
 
0.5%
84.215026861
 
0.5%
41.626789091
 
0.5%
70.866142271
 
0.5%
90.864257811
 
0.5%
72.30339051
 
0.5%
18.529670721
 
0.5%
26.733119961
 
0.5%
92.811790471
 
0.5%
Other values (14)14
 
6.5%
(Missing)188
86.6%
ValueCountFrequency (%)
18.529670721
0.5%
26.733119961
0.5%
34.442268371
0.5%
40.693901061
0.5%
41.626789091
0.5%
ValueCountFrequency (%)
1006
2.8%
99.354698181
 
0.5%
96.642250061
 
0.5%
94.513717651
 
0.5%
93.31948091
 
0.5%

SE.SEC.TCAQ.ZS
Real number (ℝ≥0)

MISSING

Distinct43
Distinct (%)91.5%
Missing170
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean72.33735093
Minimum16.58119965
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:56.504844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum16.58119965
5-th percentile27.44353199
Q159.56458092
median72.96524048
Q394.19763565
95-th percentile100
Maximum100
Range83.41880035
Interquartile range (IQR)34.63305473

Descriptive statistics

Standard deviation23.5865875
Coefficient of variation (CV)0.3260637443
Kurtosis-0.5361414123
Mean72.33735093
Median Absolute Deviation (MAD)18.03041077
Skewness-0.6217122162
Sum3399.855494
Variance556.3271097
MonotonicityNot monotonic
2022-01-22T10:54:56.678459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1005
 
2.3%
52.568099981
 
0.5%
94.893859861
 
0.5%
90.995651251
 
0.5%
98.81844331
 
0.5%
97.605422971
 
0.5%
75.297111511
 
0.5%
59.740180971
 
0.5%
94.229751591
 
0.5%
16.581199651
 
0.5%
Other values (33)33
 
15.2%
(Missing)170
78.3%
ValueCountFrequency (%)
16.581199651
0.5%
24.154590611
0.5%
25.268819811
0.5%
32.517860411
0.5%
37.801750181
0.5%
ValueCountFrequency (%)
1005
2.3%
99.348777771
 
0.5%
98.81844331
 
0.5%
97.605422971
 
0.5%
96.449951171
 
0.5%

SE.SEC.TCHR
Real number (ℝ≥0)

MISSING

Distinct98
Distinct (%)100.0%
Missing119
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean216935.4592
Minimum161
Maximum6417038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:56.853289image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum161
5-th percentile583
Q15040
median27987.5
Q387057.75
95-th percentile619594.35
Maximum6417038
Range6416877
Interquartile range (IQR)82017.75

Descriptive statistics

Standard deviation797298.6398
Coefficient of variation (CV)3.675280394
Kurtosis44.37520464
Mean216935.4592
Median Absolute Deviation (MAD)26872
Skewness6.401350355
Sum21259675
Variance6.356851211 × 1011
MonotonicityNot monotonic
2022-01-22T10:54:57.128396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83231
 
0.5%
1672621
 
0.5%
185011
 
0.5%
353221
 
0.5%
842681
 
0.5%
1074331
 
0.5%
150891
 
0.5%
3904271
 
0.5%
99451
 
0.5%
1905811
 
0.5%
Other values (88)88
40.6%
(Missing)119
54.8%
ValueCountFrequency (%)
1611
0.5%
2331
0.5%
4651
0.5%
5111
0.5%
5321
0.5%
ValueCountFrequency (%)
64170381
0.5%
42516571
0.5%
16405331
0.5%
14125821
0.5%
6521401
0.5%

SE.SEC.TCHR.FE
Real number (ℝ≥0)

MISSING

Distinct94
Distinct (%)100.0%
Missing123
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean107116.9149
Minimum125
Maximum3103856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:57.313653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile339.05
Q12183.75
median15171
Q346587.5
95-th percentile329552.55
Maximum3103856
Range3103731
Interquartile range (IQR)44403.75

Descriptive statistics

Standard deviation381299.0146
Coefficient of variation (CV)3.559652693
Kurtosis44.56903157
Mean107116.9149
Median Absolute Deviation (MAD)14517.5
Skewness6.311419451
Sum10068990
Variance1.453889385 × 1011
MonotonicityNot monotonic
2022-01-22T10:54:57.480243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7041
 
0.5%
109901
 
0.5%
217791
 
0.5%
152141
 
0.5%
521611
 
0.5%
83721
 
0.5%
1869181
 
0.5%
18201
 
0.5%
1282621
 
0.5%
43291
 
0.5%
Other values (84)84
38.7%
(Missing)123
56.7%
ValueCountFrequency (%)
1251
0.5%
1911
0.5%
2041
0.5%
2821
0.5%
3151
0.5%
ValueCountFrequency (%)
31038561
0.5%
17025221
0.5%
9474581
0.5%
7869851
0.5%
3501271
0.5%

SE.SEC.TCHR.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct100
Distinct (%)100.0%
Missing117
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean53.4375799
Minimum5.545909882
Maximum85.13195038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:57.661514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.545909882
5-th percentile16.73211727
Q145.02942944
median58.50687599
Q367.4456768
95-th percentile78.46324425
Maximum85.13195038
Range79.5860405
Interquartile range (IQR)22.41624737

Descriptive statistics

Standard deviation19.42387059
Coefficient of variation (CV)0.3634870932
Kurtosis-0.1422076766
Mean53.4375799
Median Absolute Deviation (MAD)10.52415466
Skewness-0.7871933887
Sum5343.75799
Variance377.2867486
MonotonicityNot monotonic
2022-01-22T10:54:57.844792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.03766061
 
0.5%
69.650428771
 
0.5%
44.189361571
 
0.5%
59.402191161
 
0.5%
61.658458711
 
0.5%
18.054300311
 
0.5%
48.552120211
 
0.5%
55.484130861
 
0.5%
47.875278471
 
0.5%
18.300649641
 
0.5%
Other values (90)90
41.5%
(Missing)117
53.9%
ValueCountFrequency (%)
5.5459098821
0.5%
5.6392698291
0.5%
10.565230371
0.5%
12.341199871
0.5%
15.874010091
0.5%
ValueCountFrequency (%)
85.131950381
0.5%
82.967941281
0.5%
81.974250791
0.5%
81.384017941
0.5%
79.100242611
0.5%

SE.SEC.UNER.LO.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct83
Distinct (%)100.0%
Missing134
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean14.34810087
Minimum0.2421199977
Maximum82.10620117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:58.044682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2421199977
5-th percentile0.5713750005
Q13.563570023
median9.08932972
Q317.26218033
95-th percentile50.28717003
Maximum82.10620117
Range81.86408117
Interquartile range (IQR)13.69861031

Descriptive statistics

Standard deviation16.25749275
Coefficient of variation (CV)1.133076279
Kurtosis4.062455302
Mean14.34810087
Median Absolute Deviation (MAD)6.517499685
Skewness1.968234605
Sum1190.892372
Variance264.3060704
MonotonicityNot monotonic
2022-01-22T10:54:58.210294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.543529511
 
0.5%
0.43141001461
 
0.5%
10.550609591
 
0.5%
0.60975998641
 
0.5%
1.7874499561
 
0.5%
10.783849721
 
0.5%
82.106201171
 
0.5%
9.8600902561
 
0.5%
21.220279691
 
0.5%
39.293960571
 
0.5%
Other values (73)73
33.6%
(Missing)134
61.8%
ValueCountFrequency (%)
0.24211999771
0.5%
0.43141001461
0.5%
0.48418000341
0.5%
0.56468999391
0.5%
0.5671100021
0.5%
ValueCountFrequency (%)
82.106201171
0.5%
59.899551391
0.5%
59.884220121
0.5%
57.916828161
0.5%
50.963958741
0.5%

SE.SEC.UNER.LO.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct83
Distinct (%)100.0%
Missing134
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean12.63330307
Minimum0.3480699956
Maximum75.91882324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:58.402797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3480699956
5-th percentile0.9213199914
Q13.580394983
median8.646450043
Q314.974545
95-th percentile40.42339973
Maximum75.91882324
Range75.57075325
Interquartile range (IQR)11.39415002

Descriptive statistics

Standard deviation13.19383046
Coefficient of variation (CV)1.04436903
Kurtosis6.209645274
Mean12.63330307
Median Absolute Deviation (MAD)5.678410053
Skewness2.15923148
Sum1048.564154
Variance174.0771623
MonotonicityNot monotonic
2022-01-22T10:54:58.586051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.267860411
 
0.5%
2.3649199011
 
0.5%
10.452170371
 
0.5%
0.65916997191
 
0.5%
2.5093400481
 
0.5%
13.741410261
 
0.5%
75.918823241
 
0.5%
12.299039841
 
0.5%
19.364160541
 
0.5%
40.70045091
 
0.5%
Other values (73)73
33.6%
(Missing)134
61.8%
ValueCountFrequency (%)
0.34806999561
0.5%
0.54598999021
0.5%
0.65916997191
0.5%
0.77157002691
0.5%
0.87801998851
0.5%
ValueCountFrequency (%)
75.918823241
0.5%
50.339218141
0.5%
43.643669131
0.5%
41.291431431
0.5%
40.70045091
0.5%

SE.SEC.UNER.LO.ZS
Real number (ℝ≥0)

MISSING

Distinct95
Distinct (%)100.0%
Missing122
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean11.84642972
Minimum0.001679999987
Maximum78.95095825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:58.770118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.001679999987
5-th percentile0.2766330004
Q12.187130094
median6.777860165
Q314.63179016
95-th percentile40.30680161
Maximum78.95095825
Range78.94927825
Interquartile range (IQR)12.44466007

Descriptive statistics

Standard deviation14.22702239
Coefficient of variation (CV)1.200954442
Kurtosis5.587053867
Mean11.84642972
Median Absolute Deviation (MAD)5.203500271
Skewness2.149072312
Sum1125.410824
Variance202.4081661
MonotonicityNot monotonic
2022-01-22T10:54:58.993891image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.608320241
 
0.5%
12.302680021
 
0.5%
78.950958251
 
0.5%
11.113120081
 
0.5%
20.297040941
 
0.5%
34.959728241
 
0.5%
39.997840881
 
0.5%
51.675338751
 
0.5%
7.1520400051
 
0.5%
0.30480998751
 
0.5%
Other values (85)85
39.2%
(Missing)122
56.2%
ValueCountFrequency (%)
0.0016799999871
0.5%
0.036389999091
0.5%
0.17852999271
0.5%
0.22654999791
0.5%
0.26144999271
0.5%
ValueCountFrequency (%)
78.950958251
0.5%
54.064189911
0.5%
51.675338751
0.5%
50.509048461
0.5%
41.027709961
0.5%

SE.TER.CUAT.BA.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)100.0%
Missing195
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean17.41257179
Minimum0.664839983
Maximum60.98057938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:59.277677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.664839983
5-th percentile1.990944523
Q110.07149029
median15.96686459
Q321.12170267
95-th percentile35.0347393
Maximum60.98057938
Range60.31573939
Interquartile range (IQR)11.05021238

Descriptive statistics

Standard deviation13.23420741
Coefficient of variation (CV)0.760037493
Kurtosis4.698783774
Mean17.41257179
Median Absolute Deviation (MAD)5.893489838
Skewness1.735407393
Sum383.0765795
Variance175.1442458
MonotonicityNot monotonic
2022-01-22T10:54:59.403322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11.563090321
 
0.5%
21.601160051
 
0.5%
60.980579381
 
0.5%
14.448909761
 
0.5%
18.045299531
 
0.5%
18.717550281
 
0.5%
13.386480331
 
0.5%
26.797460561
 
0.5%
11.577119831
 
0.5%
19.683330541
 
0.5%
Other values (12)12
 
5.5%
(Missing)195
89.9%
ValueCountFrequency (%)
0.6648399831
0.5%
1.9379600291
0.5%
2.9976499081
0.5%
5.1250400541
0.5%
9.3795995711
0.5%
ValueCountFrequency (%)
60.980579381
0.5%
35.275520321
0.5%
30.45989991
0.5%
26.797460561
0.5%
23.63327981
0.5%

SE.TER.CUAT.BA.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)100.0%
Missing195
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean17.4410181
Minimum3.794680119
Maximum57.09159851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:59.552392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.794680119
5-th percentile4.199339294
Q19.836204767
median13.74707508
Q324.80546713
95-th percentile30.79446917
Maximum57.09159851
Range53.29691839
Interquartile range (IQR)14.96926236

Descriptive statistics

Standard deviation12.25167862
Coefficient of variation (CV)0.7024635
Kurtosis4.039278293
Mean17.4410181
Median Absolute Deviation (MAD)7.035414934
Skewness1.683999345
Sum383.7023983
Variance150.1036291
MonotonicityNot monotonic
2022-01-22T10:54:59.702278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
29.136709211
 
0.5%
25.912029271
 
0.5%
57.091598511
 
0.5%
10.626540181
 
0.5%
14.795660021
 
0.5%
13.424759861
 
0.5%
11.699399951
 
0.5%
20.452980041
 
0.5%
14.06939031
 
0.5%
29.321569441
 
0.5%
Other values (12)12
 
5.5%
(Missing)195
89.9%
ValueCountFrequency (%)
3.7946801191
0.5%
4.1458997731
0.5%
5.2146902081
0.5%
6.3821501731
0.5%
8.8107004171
0.5%
ValueCountFrequency (%)
57.091598511
0.5%
30.87199021
0.5%
29.321569441
0.5%
29.136709211
0.5%
25.951890951
0.5%

SE.TER.CUAT.BA.ZS
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)100.0%
Missing195
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean17.40525714
Minimum2.80614996
Maximum59.26087952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:54:59.844083image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.80614996
5-th percentile2.988260603
Q19.676944971
median15.65972948
Q322.93958426
95-th percentile32.88141909
Maximum59.26087952
Range56.45472956
Interquartile range (IQR)13.26263928

Descriptive statistics

Standard deviation12.48468428
Coefficient of variation (CV)0.7172938715
Kurtosis5.147928381
Mean17.40525714
Median Absolute Deviation (MAD)6.184099674
Skewness1.812639563
Sum382.915657
Variance155.8673415
MonotonicityNot monotonic
2022-01-22T10:54:59.984583image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
19.913139341
 
0.5%
23.680229191
 
0.5%
59.260879521
 
0.5%
12.662980081
 
0.5%
16.434810641
 
0.5%
16.091579441
 
0.5%
12.322819711
 
0.5%
23.713319781
 
0.5%
12.761219981
 
0.5%
24.35774041
 
0.5%
Other values (12)12
 
5.5%
(Missing)195
89.9%
ValueCountFrequency (%)
2.806149961
0.5%
2.9572401051
0.5%
3.577650071
0.5%
5.7286801341
0.5%
9.471929551
0.5%
ValueCountFrequency (%)
59.260879521
0.5%
33.121170041
0.5%
28.326150891
0.5%
24.35774041
0.5%
23.713319781
0.5%

SE.TER.CUAT.DO.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)100.0%
Missing207
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean0.3051870041
Minimum0.09890999645
Maximum0.6493200064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:00.128341image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.09890999645
5-th percentile0.1200690012
Q10.1996450052
median0.2332650051
Q30.3596324995
95-th percentile0.6440505117
Maximum0.6493200064
Range0.5504100099
Interquartile range (IQR)0.1599874943

Descriptive statistics

Standard deviation0.1943136053
Coefficient of variation (CV)0.6367034071
Kurtosis0.1119834655
Mean0.3051870041
Median Absolute Deviation (MAD)0.06098999828
Skewness1.174230754
Sum3.051870041
Variance0.0377577772
MonotonicityNot monotonic
2022-01-22T10:55:00.245011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.14593000711
 
0.5%
0.39315000181
 
0.5%
0.64932000641
 
0.5%
0.25459000471
 
0.5%
0.20272000131
 
0.5%
0.098909996451
 
0.5%
0.21194000541
 
0.5%
0.25907999281
 
0.5%
0.19862000641
 
0.5%
0.63761001831
 
0.5%
(Missing)207
95.4%
ValueCountFrequency (%)
0.098909996451
0.5%
0.14593000711
0.5%
0.19862000641
0.5%
0.20272000131
0.5%
0.21194000541
0.5%
ValueCountFrequency (%)
0.64932000641
0.5%
0.63761001831
0.5%
0.39315000181
0.5%
0.25907999281
0.5%
0.25459000471
0.5%

SE.TER.CUAT.DO.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)100.0%
Missing207
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean0.4756230056
Minimum0.1910299957
Maximum0.9231600165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:00.379367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1910299957
5-th percentile0.2168059975
Q10.2670000121
median0.3717050105
Q30.6320100129
95-th percentile0.906735
Maximum0.9231600165
Range0.7321300209
Interquartile range (IQR)0.3650100008

Descriptive statistics

Standard deviation0.2676649811
Coefficient of variation (CV)0.5627671033
Kurtosis-0.8102781834
Mean0.4756230056
Median Absolute Deviation (MAD)0.1431600004
Skewness0.8091596257
Sum4.756230056
Variance0.07164454212
MonotonicityNot monotonic
2022-01-22T10:55:00.502003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.24830999971
 
0.5%
0.53463000061
 
0.5%
0.88665997981
 
0.5%
0.92316001651
 
0.5%
0.25172001121
 
0.5%
0.19102999571
 
0.5%
0.31916001441
 
0.5%
0.42425000671
 
0.5%
0.31284001471
 
0.5%
0.6644700171
 
0.5%
(Missing)207
95.4%
ValueCountFrequency (%)
0.19102999571
0.5%
0.24830999971
0.5%
0.25172001121
0.5%
0.31284001471
0.5%
0.31916001441
0.5%
ValueCountFrequency (%)
0.92316001651
0.5%
0.88665997981
0.5%
0.6644700171
0.5%
0.53463000061
0.5%
0.42425000671
0.5%

SE.TER.CUAT.DO.ZS
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)100.0%
Missing207
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean0.3916429982
Minimum0.1426800042
Maximum0.7616599798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:00.627232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1426800042
5-th percentile0.1750574991
Q10.2337349989
median0.3136399984
Q30.549132511
95-th percentile0.7111834884
Maximum0.7616599798
Range0.6189799756
Interquartile range (IQR)0.3153975122

Descriptive statistics

Standard deviation0.2106507687
Coefficient of variation (CV)0.5378642533
Kurtosis-0.9482596091
Mean0.3916429982
Median Absolute Deviation (MAD)0.1226899996
Skewness0.6622495556
Sum3.916429982
Variance0.04437374637
MonotonicityNot monotonic
2022-01-22T10:55:00.743885image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.21462999281
 
0.5%
0.46000999211
 
0.5%
0.76165997981
 
0.5%
0.57884001731
 
0.5%
0.22654999791
 
0.5%
0.14268000421
 
0.5%
0.26405999061
 
0.5%
0.36322000621
 
0.5%
0.25529000161
 
0.5%
0.64948999881
 
0.5%
(Missing)207
95.4%
ValueCountFrequency (%)
0.14268000421
0.5%
0.21462999281
0.5%
0.22654999791
0.5%
0.25529000161
0.5%
0.26405999061
0.5%
ValueCountFrequency (%)
0.76165997981
0.5%
0.64948999881
0.5%
0.57884001731
0.5%
0.46000999211
0.5%
0.36322000621
0.5%

SE.TER.CUAT.MS.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)100.0%
Missing204
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean2.392904619
Minimum0.3120000064
Maximum8.996629715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:00.887229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3120000064
5-th percentile0.4261260152
Q10.8562800288
median2.179939985
Q32.593430042
95-th percentile6.250231934
Maximum8.996629715
Range8.684629709
Interquartile range (IQR)1.737150013

Descriptive statistics

Standard deviation2.296159225
Coefficient of variation (CV)0.9595698912
Kurtosis5.834338814
Mean2.392904619
Median Absolute Deviation (MAD)1.092200041
Skewness2.190516089
Sum31.10776004
Variance5.272347185
MonotonicityNot monotonic
2022-01-22T10:55:01.020671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.85628002881
 
0.5%
4.4193000791
 
0.5%
8.9966297151
 
0.5%
0.31200000641
 
0.5%
2.4881300931
 
0.5%
0.64688998461
 
0.5%
2.3818600181
 
0.5%
2.1799399851
 
0.5%
1.0877399441
 
0.5%
2.7851800921
 
0.5%
Other values (3)3
 
1.4%
(Missing)204
94.0%
ValueCountFrequency (%)
0.31200000641
0.5%
0.5022100211
0.5%
0.64688998461
0.5%
0.85628002881
0.5%
1.0877399441
0.5%
ValueCountFrequency (%)
8.9966297151
0.5%
4.4193000791
0.5%
2.7851800921
0.5%
2.5934300421
0.5%
2.4881300931
0.5%

SE.TER.CUAT.MS.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)100.0%
Missing204
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean2.446177677
Minimum0.4440099895
Maximum6.987050056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:01.169530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.4440099895
5-th percentile0.449458003
Q11.234599948
median2.147310019
Q32.663569927
95-th percentile5.660731888
Maximum6.987050056
Range6.543040067
Interquartile range (IQR)1.428969979

Descriptive statistics

Standard deviation1.835735964
Coefficient of variation (CV)0.7504507874
Kurtosis2.100913912
Mean2.446177677
Median Absolute Deviation (MAD)0.9127100706
Skewness1.398461734
Sum31.80030981
Variance3.36992653
MonotonicityNot monotonic
2022-01-22T10:55:01.295627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.0753099921
 
0.5%
3.8296599391
 
0.5%
6.9870500561
 
0.5%
0.44400998951
 
0.5%
2.6635699271
 
0.5%
1.2345999481
 
0.5%
4.7765197751
 
0.5%
2.0718901161
 
0.5%
1.5580999851
 
0.5%
2.1656799321
 
0.5%
Other values (3)3
 
1.4%
(Missing)204
94.0%
ValueCountFrequency (%)
0.44400998951
0.5%
0.45309001211
0.5%
1.0753099921
0.5%
1.2345999481
0.5%
1.5580999851
0.5%
ValueCountFrequency (%)
6.9870500561
0.5%
4.7765197751
0.5%
3.8296599391
0.5%
2.6635699271
0.5%
2.3935201171
0.5%

SE.TER.CUAT.MS.ZS
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)100.0%
Missing204
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean2.429036966
Minimum0.3786799908
Maximum8.045450211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:01.551671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3786799908
5-th percentile0.4381939888
Q11.00327003
median2.19569993
Q32.571990013
95-th percentile5.703320122
Maximum8.045450211
Range7.66677022
Interquartile range (IQR)1.568719983

Descriptive statistics

Standard deviation2.029934723
Coefficient of variation (CV)0.8356952784
Kurtosis4.584129351
Mean2.429036966
Median Absolute Deviation (MAD)1.1924299
Skewness1.881361566
Sum31.57748055
Variance4.120634981
MonotonicityNot monotonic
2022-01-22T10:55:01.691449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.003270031
 
0.5%
4.1419000631
 
0.5%
8.0454502111
 
0.5%
0.37867999081
 
0.5%
2.5719900131
 
0.5%
0.92486000061
 
0.5%
3.543240071
 
0.5%
2.1271901131
 
0.5%
1.3112100361
 
0.5%
2.4840300081
 
0.5%
Other values (3)3
 
1.4%
(Missing)204
94.0%
ValueCountFrequency (%)
0.37867999081
0.5%
0.47786998751
0.5%
0.92486000061
0.5%
1.003270031
0.5%
1.3112100361
0.5%
ValueCountFrequency (%)
8.0454502111
0.5%
4.1419000631
0.5%
3.543240071
0.5%
2.5719900131
0.5%
2.4840300081
0.5%

SE.TER.CUAT.ST.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct67
Distinct (%)100.0%
Missing150
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean21.22093287
Minimum0.7206100225
Maximum61.85153961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:01.861041image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.7206100225
5-th percentile5.56169014
Q112.49341011
median19.23872948
Q330.09141445
95-th percentile40.89887161
Maximum61.85153961
Range61.13092959
Interquartile range (IQR)17.59800434

Descriptive statistics

Standard deviation11.95389089
Coefficient of variation (CV)0.5633065694
Kurtosis0.6826799329
Mean21.22093287
Median Absolute Deviation (MAD)8.084429741
Skewness0.6988373078
Sum1421.802502
Variance142.8955075
MonotonicityNot monotonic
2022-01-22T10:55:02.043375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.844140051
 
0.5%
18.126939771
 
0.5%
24.375059131
 
0.5%
4.7392802241
 
0.5%
33.018398281
 
0.5%
25.819250111
 
0.5%
12.097949981
 
0.5%
13.540439611
 
0.5%
29.708190921
 
0.5%
28.959280011
 
0.5%
Other values (57)57
 
26.3%
(Missing)150
69.1%
ValueCountFrequency (%)
0.72061002251
0.5%
1.7177400591
0.5%
4.7392802241
0.5%
5.5608501431
0.5%
5.5636501311
0.5%
ValueCountFrequency (%)
61.851539611
0.5%
45.82431031
0.5%
41.298740391
0.5%
40.917621611
0.5%
40.855121611
0.5%

SE.TER.CUAT.ST.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct67
Distinct (%)100.0%
Missing150
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean20.94440379
Minimum2.225660086
Maximum57.89260101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:02.237724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.225660086
5-th percentile6.310887051
Q112.06024981
median19.22610092
Q328.87973022
95-th percentile39.89851646
Maximum57.89260101
Range55.66694093
Interquartile range (IQR)16.81948042

Descriptive statistics

Standard deviation11.12258587
Coefficient of variation (CV)0.5310528761
Kurtosis0.4748678721
Mean20.94440379
Median Absolute Deviation (MAD)7.92760849
Skewness0.7350693303
Sum1403.275054
Variance123.7119164
MonotonicityNot monotonic
2022-01-22T10:55:02.401292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.800729751
 
0.5%
15.606860161
 
0.5%
18.295829771
 
0.5%
9.0011596681
 
0.5%
29.266780851
 
0.5%
31.942449571
 
0.5%
12.356060031
 
0.5%
15.399809841
 
0.5%
20.059839251
 
0.5%
37.442619321
 
0.5%
Other values (57)57
 
26.3%
(Missing)150
69.1%
ValueCountFrequency (%)
2.2256600861
0.5%
4.7307901381
0.5%
5.8794898991
0.5%
6.0600299841
0.5%
6.8962202071
0.5%
ValueCountFrequency (%)
57.892601011
0.5%
40.831199651
0.5%
40.485141751
0.5%
40.18423081
0.5%
39.231849671
0.5%

SE.TER.CUAT.ST.ZS
Real number (ℝ≥0)

MISSING

Distinct67
Distinct (%)100.0%
Missing150
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean21.01704112
Minimum1.444380045
Maximum60.10089874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:02.576513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.444380045
5-th percentile6.364879894
Q112.04349518
median19.26988029
Q329.40906525
95-th percentile37.45113068
Maximum60.10089874
Range58.6565187
Interquartile range (IQR)17.36557007

Descriptive statistics

Standard deviation11.22515735
Coefficient of variation (CV)0.5340978915
Kurtosis0.7847818367
Mean21.01704112
Median Absolute Deviation (MAD)7.907830238
Skewness0.7071054166
Sum1408.141755
Variance126.0041575
MonotonicityNot monotonic
2022-01-22T10:55:02.744138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.824299811
 
0.5%
16.965539931
 
0.5%
21.358909611
 
0.5%
6.9744601251
 
0.5%
31.179180151
 
0.5%
28.816690441
 
0.5%
12.224439621
 
0.5%
14.423839571
 
0.5%
25.248889921
 
0.5%
33.170570371
 
0.5%
Other values (57)57
 
26.3%
(Missing)150
69.1%
ValueCountFrequency (%)
1.4443800451
0.5%
3.1294300561
0.5%
5.7185001371
0.5%
6.1881499291
0.5%
6.7772498131
0.5%
ValueCountFrequency (%)
60.100898741
0.5%
43.250629431
0.5%
39.137420651
0.5%
37.488090521
0.5%
37.364891051
0.5%

SE.TER.ENRL.TC.ZS
Real number (ℝ≥0)

MISSING

Distinct95
Distinct (%)100.0%
Missing122
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean16.18225158
Minimum5.24128
Maximum52.02621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:02.923738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.24128
5-th percentile6.863761
Q110.77384
median15.50722
Q318.950775
95-th percentile29.442249
Maximum52.02621
Range46.78493
Interquartile range (IQR)8.176935

Descriptive statistics

Standard deviation7.511450467
Coefficient of variation (CV)0.4641783271
Kurtosis5.092302202
Mean16.18225158
Median Absolute Deviation (MAD)3.88645
Skewness1.638181606
Sum1537.3139
Variance56.42188811
MonotonicityNot monotonic
2022-01-22T10:55:03.134464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.401791
 
0.5%
9.203841
 
0.5%
16.82031
 
0.5%
12.596131
 
0.5%
24.616261
 
0.5%
11.277041
 
0.5%
14.225681
 
0.5%
11.620771
 
0.5%
30.388181
 
0.5%
38.353561
 
0.5%
Other values (85)85
39.2%
(Missing)122
56.2%
ValueCountFrequency (%)
5.241281
0.5%
5.354581
0.5%
6.240631
0.5%
6.747241
0.5%
6.763011
0.5%
ValueCountFrequency (%)
52.026211
0.5%
38.353561
0.5%
33.476571
0.5%
32.13591
0.5%
30.388181
0.5%

SE.TER.ENRR
Real number (ℝ≥0)

MISSING

Distinct129
Distinct (%)100.0%
Missing88
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean36.51734002
Minimum0.2240100056
Maximum103.7962799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:03.334280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2240100056
5-th percentile2.899453974
Q111.69943047
median31.41724014
Q358.92335129
95-th percentile84.01375427
Maximum103.7962799
Range103.5722699
Interquartile range (IQR)47.22392082

Descriptive statistics

Standard deviation27.47759842
Coefficient of variation (CV)0.7524534484
Kurtosis-0.8427598525
Mean36.51734002
Median Absolute Deviation (MAD)22.0562706
Skewness0.5016317197
Sum4710.736863
Variance755.0184151
MonotonicityNot monotonic
2022-01-22T10:55:03.502266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.734741211
 
0.5%
74.755249021
 
0.5%
29.563840871
 
0.5%
44.251468661
 
0.5%
23.344549181
 
0.5%
14.339900021
 
0.5%
73.493858341
 
0.5%
63.716018681
 
0.5%
9.571999551
 
0.5%
1.3726400141
 
0.5%
Other values (119)119
54.8%
(Missing)88
40.6%
ValueCountFrequency (%)
0.22401000561
0.5%
0.71591997151
0.5%
1.3726400141
0.5%
1.9579800371
0.5%
2.0960600381
0.5%
ValueCountFrequency (%)
103.79627991
0.5%
102.79102331
0.5%
94.852287291
0.5%
93.447807311
0.5%
89.498046881
0.5%

SE.TER.ENRR.FE
Real number (ℝ≥0)

MISSING

Distinct125
Distinct (%)100.0%
Missing92
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean40.9678076
Minimum0.2700299919
Maximum118.6249008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:03.811170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2700299919
5-th percentile1.81441195
Q110.47134018
median37.04547119
Q366.09697723
95-th percentile100.3969391
Maximum118.6249008
Range118.3548708
Interquartile range (IQR)55.62563705

Descriptive statistics

Standard deviation32.56122534
Coefficient of variation (CV)0.7948002895
Kurtosis-0.9127123083
Mean40.9678076
Median Absolute Deviation (MAD)28.36833191
Skewness0.4908983814
Sum5120.975949
Variance1060.233395
MonotonicityNot monotonic
2022-01-22T10:55:03.990733image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.674850461
 
0.5%
32.911170961
 
0.5%
53.704429631
 
0.5%
28.487859731
 
0.5%
11.291640281
 
0.5%
91.217742921
 
0.5%
67.265983581
 
0.5%
8.1243000031
 
0.5%
0.7932000161
 
0.5%
42.991310121
 
0.5%
Other values (115)115
53.0%
(Missing)92
42.4%
ValueCountFrequency (%)
0.27002999191
0.5%
0.53521001341
0.5%
0.62068998811
0.5%
0.7932000161
0.5%
1.3082000021
0.5%
ValueCountFrequency (%)
118.62490081
0.5%
107.43621061
0.5%
107.34075161
0.5%
106.90957641
0.5%
104.55156711
0.5%

SE.TER.ENRR.MA
Real number (ℝ≥0)

MISSING

Distinct125
Distinct (%)100.0%
Missing92
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean32.69302779
Minimum0.1784099936
Maximum116.7468109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:04.159361image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1784099936
5-th percentile3.879431915
Q111.67201042
median28.64208984
Q350.87154007
95-th percentile70.83942566
Maximum116.7468109
Range116.5684009
Interquartile range (IQR)39.19952965

Descriptive statistics

Standard deviation23.52147184
Coefficient of variation (CV)0.7194644677
Kurtosis0.2448282791
Mean32.69302779
Median Absolute Deviation (MAD)18.95549011
Skewness0.6871745419
Sum4086.628474
Variance553.2596375
MonotonicityNot monotonic
2022-01-22T10:55:04.327960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.590290071
 
0.5%
26.333009721
 
0.5%
35.093898771
 
0.5%
19.778190611
 
0.5%
17.59292031
 
0.5%
56.468261721
 
0.5%
60.291881561
 
0.5%
10.978690151
 
0.5%
1.987740041
 
0.5%
31.373609541
 
0.5%
Other values (115)115
53.0%
(Missing)92
42.4%
ValueCountFrequency (%)
0.17840999361
0.5%
0.90258997681
0.5%
1.987740041
0.5%
2.3109800821
0.5%
2.3541100031
0.5%
ValueCountFrequency (%)
116.74681091
0.5%
100.49854281
0.5%
84.272491461
0.5%
72.427589421
0.5%
72.277359011
0.5%

SE.TER.TCHR.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct86
Distinct (%)100.0%
Missing131
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean38.03860745
Minimum3.566580057
Maximum65.1371994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:04.509198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.566580057
5-th percentile9.311402321
Q130.55378485
median39.51865005
Q347.28693104
95-th percentile58.49987316
Maximum65.1371994
Range61.57061934
Interquartile range (IQR)16.73314619

Descriptive statistics

Standard deviation14.60559741
Coefficient of variation (CV)0.383967721
Kurtosis-0.2805262822
Mean38.03860745
Median Absolute Deviation (MAD)8.018740654
Skewness-0.5414256497
Sum3271.320241
Variance213.3234758
MonotonicityNot monotonic
2022-01-22T10:55:04.675792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.839759831
 
0.5%
39.58393861
 
0.5%
11.625160221
 
0.5%
11.675459861
 
0.5%
49.916229251
 
0.5%
30.022569661
 
0.5%
6.5963101391
 
0.5%
22.99390031
 
0.5%
57.178638461
 
0.5%
29.826009751
 
0.5%
Other values (76)76
35.0%
(Missing)131
60.4%
ValueCountFrequency (%)
3.5665800571
0.5%
6.5963101391
0.5%
7.8260898591
0.5%
8.5150604251
0.5%
8.5401496891
0.5%
ValueCountFrequency (%)
65.13719941
0.5%
61.849708561
0.5%
60.817840581
0.5%
60.224739071
0.5%
58.72272111
0.5%

SE.XPD.CPRM.ZS
Real number (ℝ≥0)

MISSING

Distinct84
Distinct (%)94.4%
Missing128
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean91.27896993
Minimum44.04167175
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:04.843390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44.04167175
5-th percentile76.43197021
Q188.08847809
median92.58944702
Q397.71659088
95-th percentile100
Maximum100
Range55.95832825
Interquartile range (IQR)9.628112793

Descriptive statistics

Standard deviation8.896604048
Coefficient of variation (CV)0.09746608727
Kurtosis9.8882428
Mean91.27896993
Median Absolute Deviation (MAD)4.673545837
Skewness-2.563959039
Sum8123.828323
Variance79.14956359
MonotonicityNot monotonic
2022-01-22T10:55:05.034708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1006
 
2.8%
97.941429141
 
0.5%
87.821380621
 
0.5%
96.41406251
 
0.5%
90.927391051
 
0.5%
99.891510011
 
0.5%
98.248947141
 
0.5%
88.661048891
 
0.5%
93.046966551
 
0.5%
97.262992861
 
0.5%
Other values (74)74
34.1%
(Missing)128
59.0%
ValueCountFrequency (%)
44.041671751
0.5%
59.660820011
0.5%
66.412467961
0.5%
73.378936771
0.5%
75.470687871
0.5%
ValueCountFrequency (%)
1006
2.8%
99.994377141
 
0.5%
99.891510011
 
0.5%
99.885887151
 
0.5%
99.701263431
 
0.5%

SE.XPD.CSEC.ZS
Real number (ℝ≥0)

MISSING

Distinct86
Distinct (%)95.6%
Missing127
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean90.96335263
Minimum41.12902832
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:05.209966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum41.12902832
5-th percentile75.85535126
Q187.76781273
median92.28677368
Q397.01442337
95-th percentile99.99418068
Maximum100
Range58.87097168
Interquartile range (IQR)9.246610641

Descriptive statistics

Standard deviation8.876039322
Coefficient of variation (CV)0.09757819017
Kurtosis10.23767109
Mean90.96335263
Median Absolute Deviation (MAD)4.569133759
Skewness-2.448666922
Sum8186.701736
Variance78.78407404
MonotonicityNot monotonic
2022-01-22T10:55:05.380635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1005
 
2.3%
91.977928161
 
0.5%
99.300468441
 
0.5%
99.987068181
 
0.5%
85.02725221
 
0.5%
41.129028321
 
0.5%
92.440696721
 
0.5%
95.141563421
 
0.5%
97.06146241
 
0.5%
98.752159121
 
0.5%
Other values (76)76
35.0%
(Missing)127
58.5%
ValueCountFrequency (%)
41.129028321
0.5%
71.694877621
0.5%
73.286819461
0.5%
73.362586981
0.5%
75.147941591
0.5%
ValueCountFrequency (%)
1005
2.3%
99.987068181
 
0.5%
99.816276551
 
0.5%
99.701263431
 
0.5%
99.338783261
 
0.5%

SE.XPD.CTER.ZS
Real number (ℝ≥0)

MISSING

Distinct86
Distinct (%)97.7%
Missing129
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean87.31326116
Minimum42.91680145
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:05.557819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum42.91680145
5-th percentile65.771772
Q181.94585228
median90.3800354
Q394.95692635
95-th percentile99.39564247
Maximum100
Range57.08319855
Interquartile range (IQR)13.01107407

Descriptive statistics

Standard deviation11.67005321
Coefficient of variation (CV)0.1336572824
Kurtosis3.091290061
Mean87.31326116
Median Absolute Deviation (MAD)6.4974823
Skewness-1.64540655
Sum7683.566982
Variance136.1901419
MonotonicityNot monotonic
2022-01-22T10:55:05.827426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003
 
1.4%
93.67839051
 
0.5%
91.476829531
 
0.5%
66.647361761
 
0.5%
97.937797551
 
0.5%
98.636703491
 
0.5%
81.633689881
 
0.5%
92.128753661
 
0.5%
91.476539611
 
0.5%
98.082740781
 
0.5%
Other values (76)76
35.0%
(Missing)129
59.4%
ValueCountFrequency (%)
42.916801451
0.5%
49.759231571
0.5%
50.231239321
0.5%
63.606189731
0.5%
65.30030061
0.5%
ValueCountFrequency (%)
1003
1.4%
99.769981381
 
0.5%
99.509506231
 
0.5%
99.184181211
 
0.5%
98.636703491
 
0.5%

SE.XPD.CTOT.ZS
Real number (ℝ≥0)

MISSING

Distinct88
Distinct (%)97.8%
Missing127
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean89.92589955
Minimum57.23836136
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:06.042877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum57.23836136
5-th percentile74.29878845
Q188.06149864
median91.05454636
Q394.79329109
95-th percentile99.14270477
Maximum100
Range42.76163864
Interquartile range (IQR)6.73179245

Descriptive statistics

Standard deviation8.031944673
Coefficient of variation (CV)0.08931736811
Kurtosis5.367472978
Mean89.92589955
Median Absolute Deviation (MAD)3.280639648
Skewness-1.999105128
Sum8093.330959
Variance64.51213523
MonotonicityNot monotonic
2022-01-22T10:55:06.218715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003
 
1.4%
98.742210391
 
0.5%
88.558341981
 
0.5%
92.127853391
 
0.5%
99.169662481
 
0.5%
95.050987241
 
0.5%
86.475799561
 
0.5%
89.915290831
 
0.5%
95.019317631
 
0.5%
96.082168581
 
0.5%
Other values (78)78
35.9%
(Missing)127
58.5%
ValueCountFrequency (%)
57.238361361
0.5%
58.457748411
0.5%
65.852676391
0.5%
68.678298951
0.5%
73.972137451
0.5%
ValueCountFrequency (%)
1003
1.4%
99.905006411
 
0.5%
99.169662481
 
0.5%
99.109756471
 
0.5%
99.102249151
 
0.5%

SE.XPD.PRIM.PC.ZS
Real number (ℝ≥0)

MISSING

Distinct101
Distinct (%)100.0%
Missing116
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean16.20805188
Minimum3.10452
Maximum51.10212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:06.383398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.10452
5-th percentile4.82626
Q110.36507
median15.05707
Q321.54325
95-th percentile27.88253
Maximum51.10212
Range47.9976
Interquartile range (IQR)11.17818

Descriptive statistics

Standard deviation8.574467142
Coefficient of variation (CV)0.529025154
Kurtosis3.245400346
Mean16.20805188
Median Absolute Deviation (MAD)6.20255
Skewness1.210759073
Sum1637.01324
Variance73.52148677
MonotonicityNot monotonic
2022-01-22T10:55:06.558509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.190841
 
0.5%
21.709591
 
0.5%
17.086061
 
0.5%
12.383031
 
0.5%
5.08691
 
0.5%
10.195721
 
0.5%
11.268671
 
0.5%
12.403331
 
0.5%
23.182171
 
0.5%
6.302551
 
0.5%
Other values (91)91
41.9%
(Missing)116
53.5%
ValueCountFrequency (%)
3.104521
0.5%
3.931341
0.5%
4.100321
0.5%
4.235541
0.5%
4.746351
0.5%
ValueCountFrequency (%)
51.102121
0.5%
49.067731
0.5%
34.511141
0.5%
30.881
0.5%
30.414031
0.5%

SE.XPD.PRIM.ZS
Real number (ℝ≥0)

MISSING

Distinct99
Distinct (%)100.0%
Missing118
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean34.88327051
Minimum13.48298
Maximum65.32845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:06.726214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum13.48298
5-th percentile17.090917
Q126.92883
median32.38737
Q342.58959
95-th percentile55.568544
Maximum65.32845
Range51.84547
Interquartile range (IQR)15.66076

Descriptive statistics

Standard deviation11.69320113
Coefficient of variation (CV)0.3352094273
Kurtosis-0.3217826777
Mean34.88327051
Median Absolute Deviation (MAD)7.69758
Skewness0.4456798933
Sum3453.44378
Variance136.7309526
MonotonicityNot monotonic
2022-01-22T10:55:06.906210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.280561
 
0.5%
26.666431
 
0.5%
39.811871
 
0.5%
60.977891
 
0.5%
40.013211
 
0.5%
28.58251
 
0.5%
34.760371
 
0.5%
26.961691
 
0.5%
47.546081
 
0.5%
26.895971
 
0.5%
Other values (89)89
41.0%
(Missing)118
54.4%
ValueCountFrequency (%)
13.482981
0.5%
15.251561
0.5%
16.176581
0.5%
16.408061
0.5%
16.713881
0.5%
ValueCountFrequency (%)
65.328451
0.5%
62.136471
0.5%
60.977891
0.5%
60.341161
0.5%
55.701241
0.5%

SE.XPD.SECO.PC.ZS
Real number (ℝ≥0)

MISSING

Distinct90
Distinct (%)100.0%
Missing127
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean20.81708244
Minimum4.26581
Maximum51.85674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:07.091661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.26581
5-th percentile7.3419165
Q113.921205
median19.32207
Q326.45904
95-th percentile35.33067
Maximum51.85674
Range47.59093
Interquartile range (IQR)12.537835

Descriptive statistics

Standard deviation9.605771191
Coefficient of variation (CV)0.4614369577
Kurtosis0.5885005276
Mean20.81708244
Median Absolute Deviation (MAD)6.71111
Skewness0.695585139
Sum1873.53742
Variance92.27084018
MonotonicityNot monotonic
2022-01-22T10:55:07.267268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.053851
 
0.5%
7.429011
 
0.5%
42.65071
 
0.5%
18.058171
 
0.5%
17.405991
 
0.5%
18.408251
 
0.5%
26.516821
 
0.5%
15.409361
 
0.5%
32.910011
 
0.5%
35.68591
 
0.5%
Other values (80)80
36.9%
(Missing)127
58.5%
ValueCountFrequency (%)
4.265811
0.5%
5.613721
0.5%
5.904711
0.5%
6.311941
0.5%
7.337341
0.5%
ValueCountFrequency (%)
51.856741
0.5%
48.609811
0.5%
42.65071
0.5%
36.87531
0.5%
35.68591
0.5%

SE.XPD.SECO.ZS
Real number (ℝ≥0)

MISSING

Distinct101
Distinct (%)100.0%
Missing116
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean34.73437267
Minimum10.43589
Maximum53.8765
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:07.461571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.43589
5-th percentile20.93461
Q127.91719
median35.33097
Q342.20706
95-th percentile52.64606
Maximum53.8765
Range43.44061
Interquartile range (IQR)14.28987

Descriptive statistics

Standard deviation9.629673221
Coefficient of variation (CV)0.2772375742
Kurtosis-0.1974985441
Mean34.73437267
Median Absolute Deviation (MAD)7.13746
Skewness-0.1202103621
Sum3508.17164
Variance92.73060634
MonotonicityNot monotonic
2022-01-22T10:55:07.645554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.772421
 
0.5%
35.330971
 
0.5%
13.232971
 
0.5%
21.279961
 
0.5%
23.54351
 
0.5%
33.716741
 
0.5%
24.090111
 
0.5%
52.646061
 
0.5%
23.203891
 
0.5%
33.66041
 
0.5%
Other values (91)91
41.9%
(Missing)116
53.5%
ValueCountFrequency (%)
10.435891
0.5%
11.324351
0.5%
13.232971
0.5%
14.815531
0.5%
18.001931
0.5%
ValueCountFrequency (%)
53.87651
0.5%
53.772421
0.5%
53.331681
0.5%
53.224251
0.5%
52.739011
0.5%

SE.XPD.TERT.PC.ZS
Real number (ℝ≥0)

MISSING

Distinct94
Distinct (%)100.0%
Missing123
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean77.96669043
Minimum5.09328
Maximum1447.392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:07.940228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.09328
5-th percentile11.8473465
Q119.6157225
median28.44924
Q353.1247575
95-th percentile249.1628145
Maximum1447.392
Range1442.29872
Interquartile range (IQR)33.509035

Descriptive statistics

Standard deviation172.390897
Coefficient of variation (CV)2.211083939
Kurtosis44.18838408
Mean77.96669043
Median Absolute Deviation (MAD)12.401315
Skewness6.05754121
Sum7328.8689
Variance29718.62135
MonotonicityNot monotonic
2022-01-22T10:55:08.107965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.649671
 
0.5%
43.449951
 
0.5%
451.905471
 
0.5%
45.474871
 
0.5%
1447.3921
 
0.5%
12.440741
 
0.5%
162.816211
 
0.5%
5.093281
 
0.5%
56.310451
 
0.5%
128.555641
 
0.5%
Other values (84)84
38.7%
(Missing)123
56.7%
ValueCountFrequency (%)
5.093281
0.5%
6.576241
0.5%
7.455661
0.5%
7.511861
0.5%
10.745331
0.5%
ValueCountFrequency (%)
1447.3921
0.5%
631.61871
0.5%
451.905471
0.5%
362.159111
0.5%
291.540391
0.5%

SE.XPD.TERT.ZS
Real number (ℝ≥0)

MISSING

Distinct110
Distinct (%)100.0%
Missing107
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean20.07621973
Minimum3.86129
Maximum48.4117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:08.291257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.86129
5-th percentile6.8301435
Q114.56231
median19.71107
Q324.2965025
95-th percentile35.6085535
Maximum48.4117
Range44.55041
Interquartile range (IQR)9.7341925

Descriptive statistics

Standard deviation8.581777113
Coefficient of variation (CV)0.4274598121
Kurtosis0.5265014924
Mean20.07621973
Median Absolute Deviation (MAD)5.06696
Skewness0.5319438158
Sum2208.38417
Variance73.64689842
MonotonicityNot monotonic
2022-01-22T10:55:08.475628image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.66341
 
0.5%
29.625941
 
0.5%
26.048411
 
0.5%
12.569221
 
0.5%
23.085551
 
0.5%
34.454041
 
0.5%
29.79821
 
0.5%
9.364541
 
0.5%
18.792161
 
0.5%
6.682711
 
0.5%
Other values (100)100
46.1%
(Missing)107
49.3%
ValueCountFrequency (%)
3.861291
0.5%
4.59581
0.5%
5.012841
0.5%
5.293661
0.5%
5.846691
0.5%
ValueCountFrequency (%)
48.41171
0.5%
43.936561
0.5%
37.843941
0.5%
36.237151
0.5%
36.076521
0.5%

SE.XPD.TOTL.GB.ZS
Real number (ℝ≥0)

MISSING

Distinct131
Distinct (%)100.0%
Missing86
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean14.67435858
Minimum5.302080154
Maximum26.40800095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:08.658758image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.302080154
5-th percentile7.800000191
Q111.0583148
median14.21689987
Q317.82438469
95-th percentile23.46362019
Maximum26.40800095
Range21.10592079
Interquartile range (IQR)6.766069889

Descriptive statistics

Standard deviation4.806197389
Coefficient of variation (CV)0.3275235073
Kurtosis-0.2501542421
Mean14.67435858
Median Absolute Deviation (MAD)3.352519989
Skewness0.4201382755
Sum1922.340974
Variance23.09953334
MonotonicityNot monotonic
2022-01-22T10:55:08.844050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.143659591
 
0.5%
11.669050221
 
0.5%
14.573149681
 
0.5%
12.459980011
 
0.5%
18.406230931
 
0.5%
26.123510361
 
0.5%
19.08964921
 
0.5%
26.408000951
 
0.5%
15.088489531
 
0.5%
14.711139681
 
0.5%
Other values (121)121
55.8%
(Missing)86
39.6%
ValueCountFrequency (%)
5.3020801541
0.5%
5.5342898371
0.5%
6.3632202151
0.5%
6.4753799441
0.5%
7.2469601631
0.5%
ValueCountFrequency (%)
26.408000951
0.5%
26.304040911
0.5%
26.143960951
0.5%
26.123510361
0.5%
24.846830371
0.5%

SE.XPD.TOTL.GD.ZS
Real number (ℝ≥0)

MISSING

Distinct138
Distinct (%)100.0%
Missing79
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean4.485434057
Minimum0.8999999762
Maximum12.83730984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:09.034587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.8999999762
5-th percentile1.69531799
Q13.085330009
median4.409169912
Q35.562982321
95-th percentile7.426362944
Maximum12.83730984
Range11.93730986
Interquartile range (IQR)2.477652311

Descriptive statistics

Standard deviation1.941029753
Coefficient of variation (CV)0.432740673
Kurtosis2.288607388
Mean4.485434057
Median Absolute Deviation (MAD)1.25859499
Skewness0.9418025487
Sum618.9898999
Variance3.7675965
MonotonicityNot monotonic
2022-01-22T10:55:09.223200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.9292697911
 
0.5%
2.7219500541
 
0.5%
4.6451001171
 
0.5%
5.9529299741
 
0.5%
3.5514700411
 
0.5%
3.5397999291
 
0.5%
4.9664502141
 
0.5%
8.2433004381
 
0.5%
4.4842200281
 
0.5%
6.2500400541
 
0.5%
Other values (128)128
59.0%
(Missing)79
36.4%
ValueCountFrequency (%)
0.89999997621
0.5%
1.1176099781
0.5%
1.317350031
0.5%
1.5249799491
0.5%
1.5337899921
0.5%
ValueCountFrequency (%)
12.837309841
0.5%
11.107620241
0.5%
9.6514701841
0.5%
8.5595502851
0.5%
8.2433004381
0.5%

SH.DTH.0509
Real number (ℝ≥0)

MISSING
ZEROS

Distinct162
Distinct (%)83.9%
Missing24
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3364.393782
Minimum0
Maximum129576
Zeros3
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:09.390838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q131
median237
Q32071
95-th percentile12486.4
Maximum129576
Range129576
Interquartile range (IQR)2040

Descriptive statistics

Standard deviation11717.84426
Coefficient of variation (CV)3.482899154
Kurtosis77.4833545
Mean3364.393782
Median Absolute Deviation (MAD)230
Skewness8.046492961
Sum649328
Variance137307874.1
MonotonicityNot monotonic
2022-01-22T10:55:09.582696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16
 
2.8%
105
 
2.3%
24
 
1.8%
03
 
1.4%
33
 
1.4%
2862
 
0.9%
252
 
0.9%
192
 
0.9%
422
 
0.9%
152
 
0.9%
Other values (152)162
74.7%
(Missing)24
 
11.1%
ValueCountFrequency (%)
03
1.4%
16
2.8%
24
1.8%
33
1.4%
51
 
0.5%
ValueCountFrequency (%)
1295761
0.5%
753371
0.5%
328071
0.5%
312051
0.5%
251691
0.5%

SH.DTH.1014
Real number (ℝ≥0)

MISSING

Distinct157
Distinct (%)81.3%
Missing24
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2219.025907
Minimum0
Maximum99334
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:09.759595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q135
median238
Q31698
95-th percentile6346
Maximum99334
Range99334
Interquartile range (IQR)1663

Descriptive statistics

Standard deviation8188.194917
Coefficient of variation (CV)3.689995187
Kurtosis105.2721654
Mean2219.025907
Median Absolute Deviation (MAD)229
Skewness9.376922053
Sum428272
Variance67046535.99
MonotonicityNot monotonic
2022-01-22T10:55:10.074297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15
 
2.3%
25
 
2.3%
484
 
1.8%
54
 
1.8%
313
 
1.4%
103
 
1.4%
113
 
1.4%
02
 
0.9%
302
 
0.9%
152
 
0.9%
Other values (147)160
73.7%
(Missing)24
 
11.1%
ValueCountFrequency (%)
02
 
0.9%
15
2.3%
25
2.3%
32
 
0.9%
42
 
0.9%
ValueCountFrequency (%)
993341
0.5%
354611
0.5%
217191
0.5%
189461
0.5%
187681
0.5%

SH.DTH.1519
Real number (ℝ≥0)

MISSING

Distinct177
Distinct (%)91.7%
Missing24
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3522.870466
Minimum0
Maximum152366
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:10.240582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1106
median481
Q32994
95-th percentile12944.2
Maximum152366
Range152366
Interquartile range (IQR)2888

Descriptive statistics

Standard deviation12201.63509
Coefficient of variation (CV)3.463549172
Kurtosis116.7412645
Mean3522.870466
Median Absolute Deviation (MAD)473
Skewness9.894915917
Sum679914
Variance148879898.8
MonotonicityNot monotonic
2022-01-22T10:55:10.423814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14
 
1.8%
83
 
1.4%
72
 
0.9%
152
 
0.9%
62
 
0.9%
2122
 
0.9%
2292
 
0.9%
162
 
0.9%
772
 
0.9%
2012
 
0.9%
Other values (167)170
78.3%
(Missing)24
 
11.1%
ValueCountFrequency (%)
01
 
0.5%
14
1.8%
31
 
0.5%
41
 
0.5%
52
0.9%
ValueCountFrequency (%)
1523661
0.5%
370081
0.5%
327771
0.5%
295771
0.5%
264231
0.5%

SH.DTH.2024
Real number (ℝ≥0)

MISSING

Distinct181
Distinct (%)93.8%
Missing24
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean4463.336788
Minimum1
Maximum200144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:10.624797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.6
Q1144
median732
Q33245
95-th percentile19512.6
Maximum200144
Range200143
Interquartile range (IQR)3101

Descriptive statistics

Standard deviation16082.26667
Coefficient of variation (CV)3.603193627
Kurtosis116.7313968
Mean4463.336788
Median Absolute Deviation (MAD)709
Skewness10.00063269
Sum861424
Variance258639301.2
MonotonicityNot monotonic
2022-01-22T10:55:10.809253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14
 
1.8%
63
 
1.4%
1272
 
0.9%
572
 
0.9%
692
 
0.9%
102
 
0.9%
3192
 
0.9%
172
 
0.9%
112
 
0.9%
28991
 
0.5%
Other values (171)171
78.8%
(Missing)24
 
11.1%
ValueCountFrequency (%)
14
1.8%
21
 
0.5%
31
 
0.5%
63
1.4%
71
 
0.5%
ValueCountFrequency (%)
2001441
0.5%
734241
0.5%
378621
0.5%
274871
0.5%
238991
0.5%

SH.DYN.0509
Real number (ℝ≥0)

MISSING

Distinct79
Distinct (%)40.9%
Missing24
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean4.688082902
Minimum0.3
Maximum86.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:11.048408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.4
Q11
median1.8
Q36.1
95-th percentile16.24
Maximum86.5
Range86.2
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation7.834187428
Coefficient of variation (CV)1.671085515
Kurtosis61.73893072
Mean4.688082902
Median Absolute Deviation (MAD)1.2
Skewness6.40992521
Sum904.8
Variance61.37449266
MonotonicityNot monotonic
2022-01-22T10:55:11.226050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.414
 
6.5%
0.610
 
4.6%
0.510
 
4.6%
1.39
 
4.1%
1.28
 
3.7%
18
 
3.7%
1.57
 
3.2%
2.36
 
2.8%
1.85
 
2.3%
1.95
 
2.3%
Other values (69)111
51.2%
(Missing)24
 
11.1%
ValueCountFrequency (%)
0.32
 
0.9%
0.414
6.5%
0.510
4.6%
0.610
4.6%
0.74
 
1.8%
ValueCountFrequency (%)
86.51
0.5%
231
0.5%
21.91
0.5%
21.41
0.5%
19.91
0.5%

SH.DYN.1014
Real number (ℝ≥0)

MISSING

Distinct70
Distinct (%)36.3%
Missing24
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3.392227979
Minimum0.3
Maximum79.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:11.406834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.5
Q11.1
median1.9
Q34
95-th percentile9.24
Maximum79.6
Range79.3
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation6.22270638
Coefficient of variation (CV)1.834400995
Kurtosis118.0761951
Mean3.392227979
Median Absolute Deviation (MAD)1.1
Skewness9.797484126
Sum654.7
Variance38.7220747
MonotonicityNot monotonic
2022-01-22T10:55:11.607768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.517
 
7.8%
0.610
 
4.6%
1.99
 
4.1%
1.37
 
3.2%
1.17
 
3.2%
1.27
 
3.2%
1.56
 
2.8%
0.76
 
2.8%
1.66
 
2.8%
1.76
 
2.8%
Other values (60)112
51.6%
(Missing)24
 
11.1%
ValueCountFrequency (%)
0.31
 
0.5%
0.43
 
1.4%
0.517
7.8%
0.610
4.6%
0.76
 
2.8%
ValueCountFrequency (%)
79.61
0.5%
171
0.5%
11.91
0.5%
10.72
0.9%
10.61
0.5%

SH.DYN.1519
Real number (ℝ≥0)

MISSING

Distinct99
Distinct (%)51.3%
Missing24
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean6.068393782
Minimum1
Maximum81.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:11.791022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.36
Q12.4
median4.4
Q37.6
95-th percentile14.22
Maximum81.1
Range80.1
Interquartile range (IQR)5.2

Descriptive statistics

Standard deviation7.068517791
Coefficient of variation (CV)1.164808687
Kurtosis66.14312366
Mean6.068393782
Median Absolute Deviation (MAD)2.3
Skewness6.658175815
Sum1171.2
Variance49.96394376
MonotonicityNot monotonic
2022-01-22T10:55:11.989952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.86
 
2.8%
2.56
 
2.8%
1.96
 
2.8%
1.36
 
2.8%
1.85
 
2.3%
1.75
 
2.3%
5.44
 
1.8%
2.34
 
1.8%
54
 
1.8%
1.64
 
1.8%
Other values (89)143
65.9%
(Missing)24
 
11.1%
ValueCountFrequency (%)
11
 
0.5%
1.11
 
0.5%
1.22
 
0.9%
1.36
2.8%
1.44
1.8%
ValueCountFrequency (%)
81.11
0.5%
27.41
0.5%
20.91
0.5%
19.71
0.5%
19.61
0.5%

SH.DYN.2024
Real number (ℝ≥0)

MISSING

Distinct104
Distinct (%)53.9%
Missing24
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean8.160103627
Minimum1.5
Maximum75.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:12.283974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile2
Q13.2
median6
Q310.2
95-th percentile20.48
Maximum75.8
Range74.3
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.82671134
Coefficient of variation (CV)0.959143621
Kurtosis28.63590819
Mean8.160103627
Median Absolute Deviation (MAD)3.2
Skewness4.017146952
Sum1574.9
Variance61.25741041
MonotonicityNot monotonic
2022-01-22T10:55:12.464575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.88
 
3.7%
2.77
 
3.2%
2.36
 
2.8%
1.96
 
2.8%
3.55
 
2.3%
2.55
 
2.3%
4.35
 
2.3%
7.15
 
2.3%
4.44
 
1.8%
3.24
 
1.8%
Other values (94)138
63.6%
(Missing)24
 
11.1%
ValueCountFrequency (%)
1.51
 
0.5%
1.61
 
0.5%
1.71
 
0.5%
1.96
2.8%
22
 
0.9%
ValueCountFrequency (%)
75.81
0.5%
311
0.5%
28.81
0.5%
26.71
0.5%
26.21
0.5%

SL.TLF.TOTL.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct187
Distinct (%)100.0%
Missing30
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean40.87846205
Minimum11.41312228
Maximum54.16008539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:12.647871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11.41312228
5-th percentile17.42219241
Q137.79067778
median43.91751916
Q347.19848075
95-th percentile49.88223901
Maximum54.16008539
Range42.74696311
Interquartile range (IQR)9.407802973

Descriptive statistics

Standard deviation9.450845441
Coefficient of variation (CV)0.2311937624
Kurtosis1.681729709
Mean40.87846205
Median Absolute Deviation (MAD)4.159148018
Skewness-1.508182963
Sum7644.272404
Variance89.31847955
MonotonicityNot monotonic
2022-01-22T10:55:12.823005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.529963661
 
0.5%
46.082463271
 
0.5%
43.917519161
 
0.5%
45.905084011
 
0.5%
37.813354891
 
0.5%
45.664194161
 
0.5%
47.305708881
 
0.5%
49.50546981
 
0.5%
46.680850351
 
0.5%
15.924583041
 
0.5%
Other values (177)177
81.6%
(Missing)30
 
13.8%
ValueCountFrequency (%)
11.413122281
0.5%
11.657159681
0.5%
12.741389941
0.5%
14.301347171
0.5%
14.755890481
0.5%
ValueCountFrequency (%)
54.160085391
0.5%
53.443313011
0.5%
52.098019721
0.5%
51.356082251
0.5%
50.723339281
0.5%

SL.TLF.TOTL.IN
Real number (ℝ≥0)

MISSING

Distinct187
Distinct (%)100.0%
Missing30
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean16801795.99
Minimum33954
Maximum775372805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:13.047822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum33954
5-th percentile115320.2
Q11020336
median3474415
Q310204039
95-th percentile52576889.7
Maximum775372805
Range775338851
Interquartile range (IQR)9183703

Descriptive statistics

Standard deviation67785193.6
Coefficient of variation (CV)4.034401657
Kurtosis94.60188001
Mean16801795.99
Median Absolute Deviation (MAD)3051315
Skewness9.242861746
Sum3141935851
Variance4.594832471 × 1015
MonotonicityNot monotonic
2022-01-22T10:55:13.232908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
576280271
 
0.5%
1223091
 
0.5%
65479451
 
0.5%
531437521
 
0.5%
25017961
 
0.5%
88294891
 
0.5%
26075691
 
0.5%
143242011
 
0.5%
23247371
 
0.5%
14021781
 
0.5%
Other values (177)177
81.6%
(Missing)30
 
13.8%
ValueCountFrequency (%)
339541
0.5%
504841
0.5%
538681
0.5%
548121
0.5%
599311
0.5%
ValueCountFrequency (%)
7753728051
0.5%
4629511941
0.5%
1569086931
0.5%
1156460911
0.5%
952378541
0.5%

SL.UEM.TOTL.FE.ZS
Real number (ℝ≥0)

MISSING

Distinct179
Distinct (%)95.7%
Missing30
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean9.450588235
Minimum0.5
Maximum32.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:13.423928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.28
Q14.345
median7.11
Q312.875
95-th percentile22.946
Maximum32.55
Range32.05
Interquartile range (IQR)8.53

Descriptive statistics

Standard deviation7.009072322
Coefficient of variation (CV)0.7416546089
Kurtosis1.011536217
Mean9.450588235
Median Absolute Deviation (MAD)3.78
Skewness1.175351077
Sum1767.26
Variance49.12709481
MonotonicityNot monotonic
2022-01-22T10:55:13.597468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.282
 
0.9%
9.612
 
0.9%
3.092
 
0.9%
3.052
 
0.9%
8.522
 
0.9%
4.632
 
0.9%
5.772
 
0.9%
5.12
 
0.9%
5.551
 
0.5%
8.781
 
0.5%
Other values (169)169
77.9%
(Missing)30
 
13.8%
ValueCountFrequency (%)
0.51
0.5%
0.621
0.5%
0.641
0.5%
0.661
0.5%
0.791
0.5%
ValueCountFrequency (%)
32.551
0.5%
32.241
0.5%
29.931
0.5%
29.461
0.5%
28.971
0.5%

SL.UEM.TOTL.MA.ZS
Real number (ℝ≥0)

MISSING

Distinct182
Distinct (%)97.3%
Missing30
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean7.738074866
Minimum0.14
Maximum31.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:13.789313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile1.129
Q13.565
median6.23
Q310.405
95-th percentile20.796
Maximum31.88
Range31.74
Interquartile range (IQR)6.84

Descriptive statistics

Standard deviation5.746620469
Coefficient of variation (CV)0.7426421388
Kurtosis2.073641175
Mean7.738074866
Median Absolute Deviation (MAD)2.91
Skewness1.404454316
Sum1447.02
Variance33.02364681
MonotonicityNot monotonic
2022-01-22T10:55:13.976097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.112
 
0.9%
4.482
 
0.9%
6.382
 
0.9%
2.692
 
0.9%
10.472
 
0.9%
9.321
 
0.5%
2.121
 
0.5%
0.641
 
0.5%
3.771
 
0.5%
3.631
 
0.5%
Other values (172)172
79.3%
(Missing)30
 
13.8%
ValueCountFrequency (%)
0.141
0.5%
0.441
0.5%
0.621
0.5%
0.641
0.5%
0.661
0.5%
ValueCountFrequency (%)
31.881
0.5%
25.681
0.5%
24.281
0.5%
22.871
0.5%
22.721
0.5%

SL.UEM.TOTL.ZS
Real number (ℝ≥0)

MISSING

Distinct177
Distinct (%)94.7%
Missing30
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean8.255561497
Minimum0.45
Maximum32.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:14.166434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.45
5-th percentile1.116
Q14.06
median7.11
Q310.81
95-th percentile19.797
Maximum32.02
Range31.57
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation5.947969481
Coefficient of variation (CV)0.7204803069
Kurtosis1.834176295
Mean8.255561497
Median Absolute Deviation (MAD)3.4
Skewness1.311583705
Sum1543.79
Variance35.37834095
MonotonicityNot monotonic
2022-01-22T10:55:14.488071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.612
 
0.9%
8.612
 
0.9%
3.252
 
0.9%
8.422
 
0.9%
10.282
 
0.9%
3.712
 
0.9%
3.32
 
0.9%
4.122
 
0.9%
11.522
 
0.9%
5.212
 
0.9%
Other values (167)167
77.0%
(Missing)30
 
13.8%
ValueCountFrequency (%)
0.451
0.5%
0.581
0.5%
0.621
0.5%
0.651
0.5%
0.711
0.5%
ValueCountFrequency (%)
32.021
0.5%
27.311
0.5%
26.821
0.5%
26.811
0.5%
24.681
0.5%

SP.POP.0014.TO.ZS
Real number (ℝ≥0)

MISSING

Distinct194
Distinct (%)100.0%
Missing23
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean28.91912494
Minimum11.928747
Maximum50.03614244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:14.680577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11.928747
5-th percentile14.08557022
Q119.07019296
median27.73083954
Q338.28054319
95-th percentile46.19188461
Maximum50.03614244
Range38.10739544
Interquartile range (IQR)19.21035023

Descriptive statistics

Standard deviation10.86494241
Coefficient of variation (CV)0.3757009395
Kurtosis-1.239704651
Mean28.91912494
Median Absolute Deviation (MAD)9.761292144
Skewness0.2061557002
Sum5610.310239
Variance118.0469736
MonotonicityNot monotonic
2022-01-22T10:55:14.855672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.873619291
 
0.5%
25.689033531
 
0.5%
27.961114631
 
0.5%
37.41435311
 
0.5%
25.832357111
 
0.5%
50.036142441
 
0.5%
44.035213371
 
0.5%
33.318481161
 
0.5%
17.522247461
 
0.5%
18.811562631
 
0.5%
Other values (184)184
84.8%
(Missing)23
 
10.6%
ValueCountFrequency (%)
11.9287471
0.5%
12.887169121
0.5%
12.967398031
0.5%
13.156299171
0.5%
13.354781981
0.5%
ValueCountFrequency (%)
50.036142441
0.5%
49.092571281
0.5%
48.76685641
0.5%
48.178145411
0.5%
48.174521461
0.5%

SP.POP.1564.TO.ZS
Real number (ℝ≥0)

MISSING

Distinct194
Distinct (%)100.0%
Missing23
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean63.42663699
Minimum47.4605997
Maximum86.39824772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2022-01-22T10:55:15.064678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum47.4605997
5-th percentile50.9491435
Q157.9271654
median65.43847211
Q368.25624022
95-th percentile72.55994251
Maximum86.39824772
Range38.93764802
Interquartile range (IQR)10.32907482

Descriptive statistics

Standard deviation7.258612578
Coefficient of variation (CV)0.1144410759
Kurtosis-0.001323257691
Mean63.42663699
Median Absolute Deviation (MAD)4.129731647
Skewness-0.08752571228
Sum12304.76758
Variance52.68745656
MonotonicityNot monotonic
2022-01-22T10:55:15.239896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.838092241
 
0.5%
71.622366291
 
0.5%
67.100717931
 
0.5%
58.463976621
 
0.5%
67.056368751
 
0.5%
47.46059971
 
0.5%
53.226430511
 
0.5%
62.154251371
 
0.5%
67.040278391
 
0.5%
66.301102891
 
0.5%
Other values (184)184
84.8%
(Missing)23
 
10.6%
ValueCountFrequency (%)
47.46059971
0.5%
48.678713161
0.5%
49.036234461
0.5%
49.134867881
0.5%
49.493723031
0.5%
ValueCountFrequency (%)
86.398247721
0.5%
86.158109231
0.5%
80.23313931
0.5%
78.746025271
0.5%
77.608674631
0.5%